Listed below is a selection of some of our faculty’s recent publications.

2021

  • Ahangari, S., Jeihani, M., Ardeshiri, A., Rahman, M. M., & Dehzangi, A. (2021). Enhancing the Performance of a Model to Predict Driving Distraction with the Random Forest Classifier. Transportation Research Record, 03611981211018695.
  • Ahangari, S., Jeihani, M., Rahman, M. M., & Dehzangi, A. (2021). PREDICTING DRIVING DISTRACTION PATTERNS IN DIFFERENT ROAD CLASSES USING A SUPPORT VECTOR MACHINE. International Journal for Traffic & Transport Engineering, 11(1).
  • Albeaik, S., Bayen, A., Chiri, M. T., Gong, X., Hayat, A., Kardous, N., . . . You, Y. (2021). Limitations and Improvements of the Intelligent Driver Model (IDM). arXiv preprint arXiv:2104.02583.
  • An, Z., Merrill, N. J., Lee, K., Robin, R., Hayat, A., Zapfe, O., & Piccoli, B. (2021). A Two-Step Model of Human Entrainment: A Quantitative Study of Circadian Period and Phase of Entrainment. Bulletin of Mathematical Biology, 83(2), 1-29.
  • An, Z., Piccoli, B., Merrow, M., & Lee, K. (2021). A Unified Model for Entrainment by Circadian Clocks: Dynamic Circadian Integrated Response Characteristic (dCiRC). bioRxiv.
  • Azer, K., Kaddi, C. D., Barrett, J. S., Bai, J. P., McQuade, S. T., Merrill, N. J., . . . Lombardo, R. (2021). History and future perspectives on the discipline of Quantitative Systems Pharmacology modeling and its applications. Frontiers in Physiology, 12.
  • Balzotti, C., Briani, M., De Filippo, B., & Piccoli, B. (2021). A computational modular approach to evaluate ${\mathrm {NO_ {x}}} $ emissions and ozone production due to vehicular traffic. Discrete & Continuous Dynamical Systems-B.
  • Borden, E. A., Furey, M., Gattone, N. J., Hambardikar, V. D., Liang, X. H., Scoma, E. R., . . . Fricker, D. (2021). Is there a link between inorganic polyphosphate (polyP), mitochondria, and neurodegeneration? Pharmacological Research, 163, 105211.
  • Borer, E. T., Asik, L., Everett, R. A., Frenken, T., Gonzalez, A. L., Paseka, R. E., . . . Van de Waal, D. B. (2021). Elements of disease in a changing world: modelling feedbacks between infectious disease and ecosystems. Ecology letters, 24(1), 6-19.
  • Carpenter, M., & Savage, A. M. (2021). Nutrient availability in urban food waste: carbohydrate bias in the Philadelphia–Camden urban matrix. Journal of Urban Ecology, 7(1), juab012.
  • Ceragioli, F., Frasca, P., Piccoli, B., & Rossi, F. (2021). Generalized solutions to opinion dynamics models with discontinuities. arXiv preprint arXiv:2105.13159.
  • Chiarello, F. A., Piccoli, B., & Tosin, A. (2021). Multiscale control of generic second order traffic models by driver-assist vehicles. Multiscale Modeling & Simulation, 19(2), 589-611.
  • Chiarello, F. A., Piccoli, B., & Tosin, A. (2021). A statistical mechanics approach to macroscopic limits of car-following traffic dynamics. International Journal of Non-Linear Mechanics, 137, 103806.
  • Ciallella, H. L., Russo, D. P., Aleksunes, L. M., Grimm, F. A., & Zhu, H. (2021). Predictive modeling of estrogen receptor agonism, antagonism, and binding activities using machine-and deep-learning approaches. Laboratory Investigation, 101(4), 490-502.
  • Ciallella, H. L., Russo, D. P., Aleksunes, L. M., Grimm, F. A., & Zhu, H. (2021). Revealing Adverse Outcome Pathways from Public High-Throughput Screening Data to Evaluate New Toxicants by a Knowledge-Based Deep Neural Network Approach. Environmental Science & Technology, 55(15), 10875-10887.
  • Delle Monache, M. L., Chi, K., Chen, Y., Goatin, P., Han, K., Qiu, J.-M., & Piccoli, B. (2021). A three-phase fundamental diagram from three-dimensional traffic data. Axioms, 10(1), 17.
  • Des Roches, S., Brans, K. I., Lambert, M. R., Rivkin, L. R., Savage, A. M., Schell, C. J., . . . Grimm, N. B. (2021). Socio‐eco‐evolutionary dynamics in cities. Evolutionary Applications, 14(1), 248-267.
  • Eberwine, J., Dmochowski, I. J., Yeldell, S. B., Griepenburg, J. C., Rapp, T. L., Singh, J. M., . . . Lee, J. (2021). Transcriptome in vivo analysis (TIVA) and transcriptome in situ analysis (TISA). In: Google Patents.
  • Frenken, T., Paseka, R., González, A. L., Asik, L., Seabloom, E. W., White, L. A., . . . Van de Waal, D. B. (2021). Changing elemental cycles, stoichiometric mismatches, and consequences for pathogens of primary producers. Oikos.
  • Fu, J., Oh, S. W., & Pereira, A. R. (2021). DNA logic-gated proximity assembly circuit for biochemical sensing. In: Google Patents.
  • Geneva, A. J., Park, S., Bock, D., de Mello, P., Sarigol, F., Tollis, M., . . . Rasys, A. (2021). Chromosome-scale genome assembly of the brown anole (Anolis sagrei), a model species for evolution and ecology. bioRxiv.
  • Ghareyazi, A., Mohseni, A., Dashti, H., Beheshti, A., Dehzangi, A., Rabiee, H. R., & Alinejad-Rokny, H. (2021). Whole-Genome Analysis of De Novo Somatic Point Mutations Reveals Novel Mutational Biomarkers in Pancreatic Cancer. Cancers, 13(17), 4376.
  • Ghareyazi, A., Mohseni, A., Dashti, H., Dehzangi, A., Rabiee, H. R., & Alinejad-Rokny, H. (2021). An Investigation of Point Mutations Discovers Novel Genes and Their Corresponding Motifs in Pancreatic Cancer.
  • Grgicak, C. M., Duffy, K. R., & Lun, D. S. (2021). The a posteriori probability of the number of contributors when conditioned on an assumed contributor. Forensic Science International: Genetics, 54, 102563.
  • Guan, L., & Grigoriev, A. (2021). Computational meta-analysis of ribosomal RNA fragments: potential targets and interaction mechanisms. Nucleic acids research, 49(7), 4085-4103.
  • Guan, L., & Grigoriev, A. (2021). RNA fragments and brain aging. In Factors Affecting Neurological Aging (pp. 37-47): Elsevier.
  • Guan, L., & Grigoriev, A. (2021). This work has been published on MicroRNA as follows: Age-related Argonaute loading of ribosomal RNA fragments. ANALYSES OF tRNA AND rRNA DERIVED FRAGMENTS ACROSS ANIMAL KINGDOM, 57.
  • Guan, L., & Grigoriev, A. (2021). This work has been published on Nucleic Acids Research as follows: Computational meta-analysis of ribosomal RNA fragments: potential targets and interaction mechanisms. ANALYSES OF tRNA AND rRNA DERIVED FRAGMENTS ACROSS ANIMAL KINGDOM, 85.
  • Guan, L., Karaiskos, S., & Grigoriev, A. (2021). This work has been published on RNA biology as follows: Inferring targeting modes of Argonaute-loaded tRNA fragments. ANALYSES OF tRNA AND rRNA DERIVED FRAGMENTS ACROSS ANIMAL KINGDOM, 6.
  • Guan, L., Lam, V., & Grigoriev, A. (2021). Large-scale computational discovery of binding motifs in tRNA fragments. Frontiers in molecular biosciences, 8.
  • Guan, L., Lam, V., & Grigoriev, A. (2021). This work has been submitted to Frontiers Molecular Biosciences as follows: Large-scale computational discovery of binding motifs in tRNA fragments. ANALYSES OF tRNA AND rRNA DERIVED FRAGMENTS ACROSS ANIMAL KINGDOM, 36.
  • Guitart-Mampel, M., Urquiza, P., Borges, J. I., Lymperopoulos, A., & Solesio, M. E. (2021). Impact of Aldosterone on the Failing Myocardium: Insights from Mitochondria and Adrenergic Receptors Signaling and Function. Cells, 10(6), 1552.
  • Hayat, A., Liard, T., Marcellini, F., & Piccoli, B. (2021). A multiscale second order model for the interaction between AV and traffic flows: analysis and existence of solutions.
  • Hayat, A., Piccoli, B., & Truong, S. (2021). Dissipation of traffic jams using a single autonomous vehicle on a ring road.
  • Herman, M., Aiello, B., DeLong, J., Garcia-Ruiz, H., González, A., Hwang, W., . . . Yakoby, N. (2021). A Unifying Framework for Understanding Biological Structures and Functions Across Levels of Biological Organization. Integrative and Comparative Biology.
  • Jia, X., Ciallella, H. L., Russo, D. P., Zhao, L., James, M. H., & Zhu, H. (2021). Construction of a virtual opioid bioprofile: a data-driven QSAR modeling study to identify new analgesic opioids. ACS Sustainable Chemistry & Engineering, 9(10), 3909-3919.
  • Joseph, T. T., Bu, W., Lin, W., Zoubak, L., Yeliseev, A., Liu, R., . . . Brannigan, G. (2021). Ketamine Metabolite (2 R, 6 R)-Hydroxynorketamine Interacts with μ and κ Opioid Receptors. ACS chemical neuroscience, 12(9), 1487-1497.
  • Kardous, N., Hayat, A., McQuade, S. T., Gong, X., Truong, S., Arnold, P., . . . Piccoli, B. (2021). A RIGOROUS MULTI-POPULATION MULTI-LANE HYBRID TRAFFIC MODEL AND 1 ITS MEAN-FIELD LIMIT FOR DISSIPATION OF WAVES VIA AUTONOMOUS 2 VEHICLES 3.
  • Karim, A., Riahi, V., Mishra, A., Newton, M. H., Dehzangi, A., Balle, T., & Sattar, A. (2021). Quantitative Toxicity Prediction via Meta Ensembling of Multitask Deep Learning Models. ACS omega, 6(18), 12306-12317.
  • Khan, M. S. I., Rahman, A., Karim, M. R., Bithi, N. I., Band, S., Dehzangi, A., & Alinejad-Rokny, H. (2021). CovidMulti-Net: A Parallel-Dilated Multi Scale Feature Fusion Architecture for the Identification of COVID-19 Cases from Chest X-ray Images. medRxiv.
  • Lee, J. W., Gunter, G., Ramadan, R., Almatrudi, S., Arnold, P., Aquino, J., . . . Chou, F.-C. (2021). Integrated Framework of Vehicle Dynamics, Instabilities, Energy Models, and Sparse Flow Smoothing Controllers. arXiv preprint arXiv:2104.11267.
  • Lohia, R., Hansen, M. E., & Brannigan, G. (2021). Contiguously-hydrophobic sequences are functionally significant throughout the human exome. bioRxiv.
  • Mansouri, K., Karmaus, A. L., Fitzpatrick, J., Patlewicz, G., Pradeep, P., Alberga, D., . . . Alves, V. M. (2021). CATMoS: Collaborative acute toxicity modeling suite. Environmental health perspectives, 129(4), 047013.
  • Marx, J., Brose, U., Gonzalez, A., & Gauzens, B. (2021). Plant flexible stoichiometry and herbivore compensatory feeding drive population dynamics across temperature and nutrient gradients.
  • McIntyre, B., & Solesio, M. E. (2021). Mitochondrial inorganic polyphosphate (polyP): the missing link of mammalian bioenergetics. Neural Regeneration Research, 16(11), 2227.
  • McIntyre, B., & Solesio, M. E. (2021). 线粒体无机多聚磷酸盐 (polyP): 哺乳动物生物能量学的缺失环节. 中国神经再生研究 (英文版), 16(11), 2227.
  • McQuade, S. T., Weightman, R., Merrill, N. J., Yadav, A., Trélat, E., Allred, S. R., & Piccoli, B. (2021). Control of COVID-19 outbreak using an extended SEIR model. Mathematical Models and Methods in Applied Sciences, 1-26.
  • Miah, M. O., Muhammod, R., Al Mamun, K. A., Farid, D. M., Kumar, S., Sharma, A., & Dehzangi, A. (2021). CluSem: Accurate Clustering-based Ensemble Method to Predict Motor Imagery Tasks from Multi-channel EEG Data. Journal of Neuroscience Methods, 109373.
  • Miller, R. J., Smith, V. M., Love, S. A., Byron, S. M., la Cruz, D. S.-d., & Miller, K. M. (2021). Synthesis and Evaluation of Cellulose-Based, 1, 2, 3-Triazolium-Functionalized Polymerized Ionic Liquids: Thermal Transitions, Ionic Conductivities, and Morphological Properties. ACS Applied Polymer Materials, 3(2), 1097-1106.
  • Nessel, M. P., Konnovitch, T., Romero, G. Q., & González, A. L. (2021). Nitrogen and phosphorus enrichment cause declines in invertebrate populations: a global meta‐analysis. Biological Reviews.
  • Ospina‐Bautista, F., Srivastava, D. S., González, A. L., Sparks, J. P., & Realpe, E. (2021). Predators override rainfall effects on tropical food webs. Biotropica.
  • Piccoli, B., & Rossi, F. (2021). Generalized solutions to bounded-confidence models. Mathematical Models and Methods in Applied Sciences, 1-40.
  • Rajaei, P., Jahanian, K. H., Beheshti, A., Band, S. S., Dehzangi, A., & Alinejad-Rokny, H. (2021). VIRMOTIF: A user-friendly tool for viral sequence analysis. Genes, 12(2), 186.
  • Rivera-Galletti, A., Gough, C. R., Kaleem, F., Burch, M., Ratcliffe, C., Lu, P., . . . Hu, X. (2021). Silk-Cellulose Acetate Biocomposite Materials Regenerated from Ionic Liquid. Polymers, 13(17), 2911.
  • Savage, A., Bambrick, H., McIver, L., & Gallegos, D. (2021). Climate change and socioeconomic determinants are structural constraints to agency in diet-related non-communicable disease prevention in Vanuatu: a qualitative study. BMC public health, 21(1), 1-18.
  • Shain, D. H., Novis, P. M., Cridge, A. G., Zawierucha, K., Geneva, A. J., & Dearden, P. K. (2021). Five animal phyla in glacier ice reveal unprecedented biodiversity in New Zealand’s Southern Alps. Scientific reports, 11(1), 1-7.
  • Sharp, L., & Brannigan, G. (2021). Spontaneous lipid binding to the nicotinic acetylcholine receptor in a native membrane. The Journal of Chemical Physics, 154(18), 185102.
  • Sheth, N., Swaminathan, H., Gonzalez, A. J., Duffy, K. R., & Grgicak, C. M. (2021). Towards developing forensically relevant single-cell pipelines by incorporating direct-to-PCR extraction: compatibility, signal quality, and allele detection. International Journal of Legal Medicine, 135(3), 727-738.
  • Solesio, M. E., Xie, L., McIntyre, B., Ellenberger, M., Mitaishvili, E., Bhadra-Lobo, S., . . . Jakob, U. (2021). Depletion of mitochondrial inorganic polyphosphate (polyP) in mammalian cells causes metabolic shift from oxidative phosphorylation to glycolysis. Biochemical Journal, 478(8), 1631-1646.
  • Subedy, A., Sharp, L. M., Klein, E. A., & Brannigan, G. H. (2021). Using Molecular Dynamics Simulations to Elucidate a Role for Bacterial Ceramides. Biophysical Journal, 120(3), 325a.
  • Trout, C. J., Clapp, J. A., & Griepenburg, J. C. (2021). Plasmonic carriers responsive to pulsed laser irradiation: a review of mechanisms, design, and applications. New Journal of Chemistry.
  • Trout, C. J., Kumpf, P., Sipps, K., Griepenburg, J. C., & O’Malley, S. M. (2021). The Influence of Alkanethiols on the Production of Hydrophobic Gold Nanoparticles via Pulsed Laser Ablation in Liquids. Nanomanufacturing, 1(3), 98-108.
  • Valtl, J., Mönich, U. J., Lun, D. S., Kelley, J., & Grgicak, C. M. (2021). A series of developmental validation tests for Number of Contributors platforms: Exemplars using NOCIt and a neural network. Forensic Science International: Genetics, 54, 102556.

2020

  • Ahmad, M. W., Arafat, M. E., Taherzadeh, G., Sharma, A., Dipta, S. R., Dehzangi, A., & Shatabda, S. (2020). Mal-light: Enhancing lysine malonylation sites prediction problem using evolutionary-based features. IEEE Access, 8, 77888-77902.
  • Ahmed, S., Hossain, Z., Uddin, M., Taherzadeh, G., Sharma, A., Shatabda, S., & Dehzangi, A. (2020). Accurate prediction of RNA 5-hydroxymethylcytosine modification by utilizing novel position-specific gapped k-mer descriptors. Computational and Structural Biotechnology Journal, 18, 3528-3538.
  • Ahmed, S., Muhammod, R., Adilina, S., Khan, Z. H., Shatabda, S., & Dehzangi, A. (2020). ACP-MHCNN: An Accurate Multi-Headed Deep-Convolutional Neural Network to Predict Anticancer peptides. bioRxiv.
  • Alinejad-Rokny, H., Zarepour, E., Khadijeh Jahanian, H., Beheshti, A., & Dehzangi, A. (2020). A Multivariate Data Analytics Approach Revealed No Footprint of APOBEC3 Proteins in Hepatitis B Virus Genome. Available at SSRN 3514647.
  • Allred, S. R., McQuade, S. T., Merrill, N. J., Piccoli, B., Spielman, D., Villacis, C., . . . Ziminski, D. (2020). Regional Health System Shortfalls with a Novel COVID-19 Model.
  • Arafat, M., Ahmad, M., Shovan, S., Dehzangi, A., Dipta, S. R., Hasan, M., . . . Sharma, A. (2020). Accurately predicting glutarylation sites using sequential bi-peptide-based evolutionary features. Genes, 11(9), 1023.
  • Balzotti, C., Briani, M., De Filippo, B., & Piccoli, B. (2020). Towards a Comprehensive Model for the Impact of Traffic Patterns on Air Pollution. Paper presented at the VEHITS.
  • Balzotti, C., Briani, M., & Piccoli, B. (2020). Estimate of emissions on road networks via Generic Second Order Models. arXiv preprint arXiv:2004.11202.
  • Bealer, E. J., Onissema-Karimu, S., Rivera-Galletti, A., Francis, M., Wilkowski, J., Salas-de la Cruz, D., & Hu, X. (2020). Protein–Polysaccharide Composite Materials: Fabrication and Applications. Polymers, 12(2), 464.
  • Blessing, B., Trout, C., Morales, A., Rybacki, K., Love, S. A., Lamoureux, G., . . . Salas-De la Cruz, D. (2020). The impact of composition and morphology on ionic conductivity of silk/cellulose bio-composites fabricated from ionic liquid and varying percentages of coagulation agents. International journal of molecular sciences, 21(13), 4695.
  • Böhm, R., Amodeo, G. F., Murlidaran, S., Chavali, S., Wagner, G., Winterhalter, M., . . . Hiller, S. (2020). The structural basis for low conductance in the membrane protein VDAC upon β-NADH binding and voltage gating. Structure, 28(2), 206-214. e204.
  • Carrillo, J. A., Pareschi, L., & Piccoli, B. (2020). Special issue on mathematical models for collective dynamics.
  • Castro, C. M., Corciulo, C., Solesio, M. E., Liang, F., Pavlov, E. V., & Cronstein, B. N. (2020). Adenosine A2A receptor (A2AR) stimulation enhances mitochondrial metabolism and mitigates reactive oxygen species‐mediated mitochondrial injury. The FASEB Journal, 34(4), 5027-5045.
  • Cavagnari, G., Marigonda, A., & Piccoli, B. (2020). Generalized dynamic programming principle and sparse mean-field control problems. Journal of Mathematical Analysis and Applications, 481(1), 123437.
  • Chandra, A. A., Sharma, A., Dehzangi, A., & Tsunoda, T. (2020). RAM-PGK: Prediction of Lysine Phosphoglycerylation Based on Residue Adjacency Matrix. Genes, 11(12), 1524.
  • Chen, Q., Zhou, C., Shi, W., Wang, X., Xia, P., Song, M., . . . Wei, S. (2020). Mechanistic in silico modeling of bisphenols to predict estrogen and glucocorticoid disrupting potentials. Science of The Total Environment, 728, 138854.
  • D’Agostino, E. R., Donihue, C. M., Losos, J. B., & Geneva, A. J. (2020). ASSESSING THE EFFECTS OF GENETIC DIVERGENCE AND MORPHOLOGY ON ANOLIS LIZARD MATING. Breviora, 568(1), 1-15.
  • Dashti, H., Dehzangi, A., Bayati, M., Breen, J., Lovell, N., Ebrahimi, D., . . . Alinejad-Rokny, H. (2020). Integrative analysis of mutated genes and mutational processes reveals seven colorectal cancer subtypes. bioRxiv.
  • De Young, K. D., Stankeviciute, G., & Klein, E. A. (2020). Sugar-phosphate metabolism regulates stationary-phase entry and stalk elongation in Caulobacter crescentus. Journal of bacteriology, 202(4), e00468-00419.
  • Dipta, S. R., Taherzadeh, G., Ahmad, M. W., Arafat, M. E., Shatabda, S., & Dehzangi, A. (2020). SEMal: Accurate protein malonylation site predictor using structural and evolutionary information. Computers in Biology and Medicine, 125, 104022.
  • DiSalvo, G. M., Robinson, A. R., Aly, M. S., Hoglund, E. R., O’malley, S. M., & Griepenburg, J. C. (2020). Polymersome Poration and Rupture Mediated by Plasmonic Nanoparticles in Response to Single-Pulse Irradiation. Polymers, 12(10), 2381.
  • Donihue, C. M., Kowaleski, A. M., Losos, J. B., Algar, A. C., Baeckens, S., Buchkowski, R. W., . . . Reynolds, R. G. (2020). Hurricane effects on Neotropical lizards span geographic and phylogenetic scales. Proceedings of the National Academy of Sciences, 117(19), 10429-10434.
  • Duteil, N., & Piccoli, B. (2020). Control of collective dynamics with time-varying weights. arXiv preprint arXiv:2011.04387.
  • Elser, J. J., Wu, C., González, A. L., Shain, D. H., Smith, H. J., Sommaruga, R., . . . Vanderwall, J. (2020). Key rules of life and the fading cryosphere: Impacts in alpine lakes and streams. Global change biology, 26(12), 6644-6656.
  • Fu, J., Oh, S. W., & Pereira, A. (2020). DNA Nanodevices for Point-of-Care Testing.
  • Fu, J., Wang, Z., Liang, X. H., Oh, S. W., Iago-McRae, E. S., & Zhang, T. (2020). DNA-scaffolded proximity assembly and confinement of multienzyme reactions. DNA Nanotechnology, 125-155.
  • Gao, R., Guan, N., Huang, M., Foreman, J., Kung, M., Rong, Z., . . . Zhu, H. (2020). Read-across: Principle, case study and its potential regulatory application in China. Regulatory Toxicology and Pharmacology, 116, 104728.
  • Garavello, M., Goatin, P., Liard, T., & Piccoli, B. (2020). A multiscale model for traffic regulation via autonomous vehicles. Journal of Differential Equations, 269(7), 6088-6124.
  • Gong, X., Piccoli, B., & Visconti, G. (2020). Mean-field limit of a hybrid system for multi-lane multi-class traffic. arXiv preprint arXiv:2007.14655.
  • Gong, X., Piccoli, B., & Visconti, G. (2020). Mean-Field of Optimal Control Problems for Hybrid Model of Multilane Traffic. IEEE Control Systems Letters, 5(6), 1964-1969.
  • Gough, C. R., Rivera-Galletti, A., Cowan, D. A., Salas-De La Cruz, D., & Hu, X. (2020). Protein and polysaccharide-based fiber materials generated from ionic liquids: A review. Molecules, 25(15), 3362.
  • Grgicak, C. M., Karkar, S., Yearwood-Garcia, X., Alfonse, L. E., Duffy, K. R., & Lun, D. S. (2020). A large-scale validation of NOCIt’sa posteriori probability of the number of contributors and its integration into forensic interpretation pipelines. Forensic Science International: Genetics, 47, 102296.
  • Guan, L., & Grigoriev, A. (2020). Age-related Argonaute loading of ribosomal RNA fragments. Microrna, 9(2), 142-152.
  • Guan, L., Karaiskos, S., & Grigoriev, A. (2020). Inferring targeting modes of Argonaute-loaded tRNA fragments. RNA biology, 17(8), 1070-1080.
  • Gunter, G., Gloudemans, D., Stern, R. E., McQuade, S., Bhadani, R., Bunting, M., . . . Sprinkle, J. (2020). Are commercially implemented adaptive cruise control systems string stable? IEEE Transactions on Intelligent Transportation Systems.
  • Harris, S. A., & Savage, A. M. (2020). Observations of Snakes Associated With Active Nests of Allegheny Mound Ant (Formica exsectoides) in Northeastern Pennsylvania. Northeastern Naturalist, 27(3), 585-595.
  • Holle, Y., Herty, M., Westdickenberg, M., & Piccoli, B. (2020). Entropy methods for gas dynamics on networks. Universitätsbibliothek der RWTH Aachen,
  • Hosseinpoor, M., Parvin, H., Nejatian, S., Rezaie, V., Bagherifard, K., Dehzangi, A., . . . Alinejad-Rokny, H. (2020). Proposing a novel community detection approach to identify cointeracting genomic regions. Mathematical Biosciences and Engineering, 17(3), 2193-2217.
  • Khong, M. L., Li, L., Solesio, M. E., Pavlov, E. V., & Tanner, J. A. (2020). Inorganic polyphosphate controls cyclophilin B‐mediated collagen folding in osteoblast‐like cells. The FEBS journal, 287(20), 4500-4524.
  • Koritala, B. S., Wager, C., Waters, J. C., Pachucki, R., Piccoli, B., Feng, Y., . . . Hozier, J. I. (2020). Habitat-Specific Clock Variation and Its Consequence on Reproductive Fitness. Journal of biological rhythms, 35(2), 134-144.
  • Krohn, L., Öztürk, T. N., Vanderperre, B., Ouled Amar Bencheikh, B., Ruskey, J. A., Laurent, S. B., . . . Hu, M. T. (2020). Genetic, structural, and functional evidence link TMEM175 to synucleinopathies. Annals of neurology, 87(1), 139-153.
  • Liu, G., Yan, X., Sedykh, A., Pan, X., Zhao, X., Yan, B., & Zhu, H. (2020). Analysis of model PM2. 5-induced inflammation and cytotoxicity by the combination of a virtual carbon nanoparticle library and computational modeling. Ecotoxicology and environmental safety, 191, 110216.
  • López, C. D., Savage, A., & Hernández, P. G. (2020). La colaboración internacional como vía para la comprensión y mitigación de los problemas ambientales: experiencias de la Universidad de La Habana y la Universidad de Rutgers-Camden. Estudios del Desarrollo Social: Cuba y América Latina, 8, 296-308.
  • López, Y., Dehzangi, A., Reddy, H. M., & Sharma, A. (2020). C-iSUMO: A sumoylation site predictor that incorporates intrinsic characteristics of amino acid sequences. Computational Biology and Chemistry, 87, 107235.
  • Love, S. A., Popov, E., Rybacki, K., Hu, X., & Salas-de la Cruz, D. (2020). Facile treatment to fine-tune cellulose crystals in cellulose-silk biocomposites through hydrogen peroxide. International journal of biological macromolecules, 147, 569-575.
  • Lubin, J. H., Zardecki, C., Dolan, E. M., Lu, C., Shen, Z., Dutta, S., . . . Williams, J. K. (2020). Evolution of the SARS-CoV-2 proteome in three dimensions (3D) during the first six months of the COVID-19 pandemic. bioRxiv.
  • Luo, Q., Gee, M., Piccoli, B., Work, D., & Samaranayake, S. (2020). Managing Public Transit during a Pandemic: The Trade-Off between Safety and Mobility. Available at SSRN 3757210.
  • Lynch, S. C. (2020). City ant, desert ant: investigating the changing dynamics of ant-tree cholla mutualisms along an urbanization gradient in Albuquerque, NM. Rutgers University-Camden Graduate School,
  • Mataeimoghadam, F., Newton, M. H., Dehzangi, A., Karim, A., Jayaram, B., Ranganathan, S., & Sattar, A. (2020). Enhancing protein backbone angle prediction by using simpler models of deep neural networks. Scientific reports, 10(1), 1-12.
  • McQuade, S. T., Merrill, N. J., & Piccoli, B. (2020). Metabolic graphs, LIFE method and the modeling of drug action on Mycobacterium tuberculosis. arXiv preprint arXiv:2003.12400.
  • Moorthy, S., Byfield, F. J., Janmey, P. A., & Klein, E. A. (2020). Matrix stiffness regulates endosomal escape of uropathogenic E. coli. Cellular microbiology, 22(5), e13196.
  • Morales, A., Blessing, B., Rybacki, K., Love, S., O’Malley, S., Hu, X., & Salas-de la Cruz, D. (2020). Characterization of Silk/Cellulose Biocomposites Infused with rGO. Bulletin of the American Physical Society, 65.
  • O’Connor, M. I., Barneche, D. R., González, A. L., & Messier, J. (2020). Unifying Ecology Across Scales: Progress, Challenges and Opportunities. Frontiers in Ecology and Evolution, 8, 381.
  • Orabi, E. A., Davis, R. L., & Lamoureux, G. (2020). Drude polarizable force field for cation–π interactions of alkali and quaternary ammonium ions with aromatic amino acid side chains. Journal of computational chemistry, 41(5), 472-481.
  • Ozturk, T. N., Culham, D. E., Tempelhagen, L., Wood, J. M., & Lamoureux, G. (2020). Salt-dependent interactions between the C-terminal domain of osmoregulatory transporter ProP of Escherichia coli and the lipid membrane. The Journal of Physical Chemistry B, 124(38), 8209-8220.
  • Paseka, R. E., White, L. A., Van de Waal, D. B., Strauss, A. T., González, A. L., Everett, R. A., . . . Borer, E. T. (2020). Disease-mediated ecosystem services: Pathogens, plants, and people. Trends in ecology & evolution, 35(8), 731-743.
  • Piccoli, B., Tosin, A., & Zanella, M. (2020). Model-based assessment of the impact of driver-assist vehicles using kinetic theory. Zeitschrift für angewandte Mathematik und Physik, 71(5), 1-25.
  • Qi, X., Li, X., Yao, H., Huang, Y., Cai, X., Chen, J., & Zhu, H. (2020). Predicting plant cuticle-water partition coefficients for organic pollutants using pp-LFER model. Science of The Total Environment, 725, 138455.
  • Revaitis, N. T., Niepielko, M. G., Marmion, R. A., Klein, E. A., Piccoli, B., & Yakoby, N. (2020). Quantitative analyses of EGFR localization and trafficking dynamics in the follicular epithelium. Development, 147(15), dev183210.
  • Rupakheti, C., Lamoureux, G., MacKerell Jr, A. D., & Roux, B. (2020). Statistical mechanics of polarizable force fields based on classical Drude oscillators with dynamical propagation by the dual-thermostat extended Lagrangian. The Journal of Chemical Physics, 153(11), 114108.
  • Russo, D. P., Yan, X., Shende, S., Huang, H., Yan, B., & Zhu, H. (2020). Virtual molecular projections and convolutional neural networks for the end-to-end modeling of nanoparticle activities and properties. Analytical Chemistry, 92(20), 13971-13979.
  • Savage, A., Huber, C., & Bambrick, H. (2020). Integration of climate change adaptation, disaster risk reduction and development in Vanuatu: A systems perspective. In Handbook of Governance in Small States (pp. 151-166): Routledge.
  • Savage, A., McIver, L., & Schubert, L. (2020). the nexus of climate change, food and nutrition security and diet-related non-communicable diseases in Pacific Island Countries and Territories. Climate and Development, 12(2), 120-133.
  • Savage, A., Schubert, L., Huber, C., Bambrick, H., Hall, N., & Bellotti, B. (2020). Adaptation to the climate crisis: Opportunities for food and nutrition security and health in a Pacific small island state. Weather, Climate, and Society, 12(4), 745-758.
  • Shamshirband, S., Fathi, M., Dehzangi, A., Chronopoulos, A. T., & Alinejad-Rokny, H. (2020). A review on deep learning approaches in healthcare systems: Taxonomies, challenges, and open issues. Journal of Biomedical Informatics, 103627.
  • Sharifrazi, D., Alizadehsani, R., Joloudari, J. H., Shamshirband, S., Hussain, S., Sani, Z. A., . . . Alinejad-Rokny, H. (2020). CNN-KCL: Automatic Myocarditis Diagnosis using Convolutional Neural Network Combined with K-means Clustering.
  • Singh, V., Sharma, A., Dehzangi, A., & Tsunoda, T. (2020). PupStruct: Prediction of Pupylated Lysine Residues Using Structural Properties of Amino Acids. Genes, 11(12), 1431.
  • Solesio, M. E., Del Molino, L. C. G., Elustondo, P. A., Diao, C., Chang, J. C., & Pavlov, E. V. (2020). Inorganic polyphosphate is required for sustained free mitochondrial calcium elevation, following calcium uptake. Cell calcium, 86, 102127.
  • Stevens, C. A., Revaitis, N. T., Caur, R., & Yakoby, N. (2020). The ETS-transcription factor Pointed is sufficient to regulate the posterior fate of the follicular epithelium. Development, 147(22), dev189787.
  • Walker, R., Wilder, S. M., & González, A. L. (2020). Temperature dependency of predation: Increased killing rates and prey mass consumption by predators with warming. Ecology and evolution, 10(18), 9696-9706.
  • Wang, Y.-T., Li, B., Xu, X.-J., Ren, H.-B., Yin, J.-Y., Zhu, H., & Zhang, Y.-H. (2020). FTIR spectroscopy coupled with machine learning approaches as a rapid tool for identification and quantification of artificial sweeteners. Food chemistry, 303, 125404.
  • Wang, Y.-T., Russo, D. P., Liu, C., Zhou, Q., Zhu, H., & Zhang, Y.-H. (2020). Predictive Modeling of Angiotensin I-Converting Enzyme Inhibitory Peptides Using Various Machine Learning Approaches. Journal of agricultural and food chemistry, 68(43), 12132-12140.
  • Wardah, W., Dehzangi, A., Taherzadeh, G., Rashid, M. A., Khan, M. G., Tsunoda, T., & Sharma, A. (2020). Predicting protein-peptide binding sites with a deep convolutional neural network. Journal of theoretical biology, 496, 110278.
  • Waters, J. C., Jhaveri, D., Biffinger, J. C., & Lee, K. (2020). Quantitative trait loci (QTL) underlying phenotypic variation in bioethanol-related processes in Neurospora crassa. PLoS One, 15(2), e0221737.
  • Werner, J. N., Shi, H., Hsin, J., Huang, K. C., Gitai, Z., & Klein, E. A. (2020). AimB is a small protein regulator of cell size and MreB assembly. Biophysical Journal, 119(3), 593-604.
  • Yan, X., Sedykh, A., Wang, W., Yan, B., & Zhu, H. (2020). Construction of a web-based nanomaterial database by big data curation and modeling friendly nanostructure annotations. Nature communications, 11(1), 1-10.
  • Yan, X., Zhang, J., Russo, D. P., Zhu, H., & Yan, B. (2020). Prediction of Nano–Bio Interactions through Convolutional Neural Network Analysis of Nanostructure Images. ACS Sustainable Chemistry & Engineering, 8(51), 19096-19104.
  • Zhao, L., Ciallella, H. L., Aleksunes, L. M., & Zhu, H. (2020). Advancing computer-aided drug discovery (CADD) by big data and data-driven machine learning modeling. Drug discovery today.
  • Zhao, L., Russo, D. P., Wang, W., Aleksunes, L. M., & Zhu, H. (2020). Mechanism-driven read-across of chemical hepatotoxicants based on chemical structures and biological data. Toxicological Sciences, 174(2), 178-188.
  • Zhu, H. (2020). Big data and artificial intelligence modeling for drug discovery. Annual review of pharmacology and toxicology, 60, 573-589.
  • Zhu, H., Zhang, Y. H., Wang, Y. T., Russo, D. P., Liu, C., & Zhou, Q. (2020). Predictive modeling of angiotensin I-converting enzyme inhibitory peptides using various machine learning approaches. Journal of agricultural and food chemistry, 68(43), 12132-12140.

2019

2018

 

2017

  • Moffett,S.X., O’Malley, S.M., Man, S., Hong, D. Martin, J.V. (2017) Dynamics of high frequency brain activity. Scientific Reports, 7: 15758. doi:10.1038/s41598-017-15966-6

  • N. Revaitis, R.A. Marmion, M. Farhat, V. Ekiz, W. Wang, N. Yakoby. Simple expression domains are regulated by discrete CRMs during Drosophila oogenesis. G3 2017 Jun 20. pii: g3.117.043810. doi: 10.1534/g3.117.043810.
  • G. Pyrowolakis, V. Veikkolainen, N. Yakoby, S.Y. Shvartsman. Gene regulation during Drosophila eggshell patterning. PNAS  2017 Jun 6;114(23):5808-5813. doi: 10.1073/pnas.1610619114.
  • Dighton J. & White, J. W. Jr Eds. (2017) The Fungal Community: its Organization and Role in the Ecosystem. 4th Edition CRC Taylor and Francis.

  • Malcolm, K. and Dighton, J. (2017) Ecology of Fungal Phylloplane Epiphytes In: The Fungal Community: its Organization and Role in the Ecosystem. 4th Edition, ed. J. Dighton & J. W. White Jr., CRC Taylor and Francis pp. 159-168.

  • Dighton, J. (2017) Fungal degradation of our cultural heritage In: The Fungal Community: its Organization and Role in the Ecosystem. 4th Edition, ed. J. Dighton & J. W. White Jr., CRC Taylor and Francis pp. 501-508.

  • Luo, J., Walsh, E., Miller, S., Blystone, D. Dighton, J., Zhang, Nl. (2017) Root endophytic fungal communities associated with pitch pine, switchgrass and rosette grass in the pine barrens ecosystem, Fungal Biology 121: 478-487.

  • Dinamarca, O. Levitan, G. K. Kumaraswamy, D. S. Lun, and P. Falkowski. Overexpression of a diacylglycerol acyltransferase gene in Phaeodactylum tricornutum directs carbon towards lipid biosynthesis. J. Phycology, 53(2):405-414, April 2017.

  • Qian, M. K. Kim, G. K. Kumaraswamy, A. Agarwal, D. S. Lun, and G. C. Dismukes. Flux balance analysis of photoautotrophic metabolism: Uncovering new biological details of subsystems involved in cyanobacterial photosynthesis. BBA – Bioenergetics, 1858(4):276-287, April 2017.

  • E. Alfonse, G. Tejada, H. Swaminathan, D. S. Lun, and C. M. Grgicak. Inferring the number of contributors to complex DNA mixtures using three methods: Exploring the limits of low-template DNA interpretation. J. Forensic Sci., 62(2):308-316, March 2017.

  • Guay*, C. L., McQuade*, S. T., Nam, J., 2017. Single embryo-resolution quantitative analysis of reporters permits multiplex spatial cis-regulatory analysis. Developmental Biology. 422, 92-104. (* = equal contribution) https://www.sciencedirect.com/science/article/pii/S0012160616306601

  • Lori Ludwig#, Matthew Barbour, Jennifer Guevara, Leticia Avilés & Angélica L. González. Caught in the web: spider web architectures affect prey specialization and spider-prey stoichiometric relationships. Accepted Ecology & Evolution. #Undergraduate student.

  • J. Gagliardi and D.H. Shain, Electrostatic forces drive poleward chromosome motions at kinetochores, Cell Division 2016, 11:14.

  • Hideyuki Doi, Fumikazu Akamatsu & Angélica L. González. 2017. Starvation effect on nitrogen and carbon isotope values of animals: an insight from meta-analysis of feeding experiments. R. Soc. open sci. 4: 170633. *Collaborative paper. 

  • Stilianos Louca, Saulo M.S. Jacques, Aliny P.F. Pires, Juliana S. Leal, Angélica L. González, Michael Doebeli & Vinicius F. Farjalla. 2017. Structure and function of bacterial and archaeal communities in bromeliad tanks. Environmental Microbiology 19:3132–3151.

  • Liu Y, Su G, Wang F, Jia J, Li S, Zhao L, Shi Y, Cai Y, Zhu H, Zhao B, Jiang G, Zhou H, Yan B Elucidation of the Molecular Determinants for Optimal Perfluorooctanesulfonate Adsorption Using a Combinatorial Nanoparticle Library Approach. Sci. Technol., 2017; (51) 7120-7127. https://www.ncbi.nlm.nih.gov/pubmed/28537376

  • Zhao L, Wang W, Sedykh A, Zhu H* Experimental Errors in QSAR Modeling Sets: What We Can Do and What We Cannot Do. ACS Omega, 2017; (2) 2805-2812. https://pubs.acs.org/doi/full/10.1021/acsomega.7b00274

  • Bai X, Liu F, Liu Y, Li C, Wang S, Zhou H, Wang W, Zhu H, Winkler D, Yan B Toward A Systematic Exploration of Nano-Bio Interactions. Appl. Pharmacol. 2017; (323) 66-73. https://www.ncbi.nlm.nih.gov/pubmed/28344110

  • Hamm J, Sullivan K, Clippinger A J, Strickland J, Bell S, Bhhatarai B, Blaauboer B, Casey W, Dorman D, Forsby A, Garcia-Reyero N, Gehen S, Graepel R, Hotchkiss J, Lowit A, Matheson J, Reaves E, Scarano L, Sprankle C, Tunkel J, Wilson D, Xia M, Zhu H, Allen D Alternative approaches for identifying acute systemic toxicity: Moving from research to regulatory testing. in Vitro, 2017; (41) 245-259. https://www.ncbi.nlm.nih.gov/pubmed/28069485

  • Russo D P, Kim M, Wang W, Pinolini D, Shende S, Strickland J, Hartung T, Zhu H* CIIPro: A new read-across portal to fill data gaps using public large scale chemical and biological data. Bioinformatics, 2017; (33) 464-466. https://www.ncbi.nlm.nih.gov/pubmed/28172359

  • Kelley, J. J., Maor, S., Kim, M. K., Lane, A., & Lun, D. S. (2017). MOST-visualization: software for producing automated textbook-style maps of genome-scale metabolic networks. Bioinformatics, btx240.

  • Waters, J. C., Nixon, A., Dwyer, M., Biffinger, J. C., & Lee, K. (2017). Developing elite Neurospora crassa strains for cellulosic ethanol production using fungal breeding. J Ind Microbiol Biotechnol. doi:10.1007/s10295-017-1941-0.

  • Ratti, M., Naddeo, J.J., Griepenburg, O’Malley, S.M., Bubb, D.M., Klein, E.A. Production of Metal Nanoparticles by Pulsed Laser-ablation in Liquids: A Tool for Studying the Antibacterial Properties of Nanoparticles. Vis. Exp. (2017), 124: e55416. 

  • Smith SD, Kawash JK, Karaiskos S, Biluck I, Grigoriev A. (2017) Evolutionary adaptation revealed by comparative genome analysis of woolly mammoths and elephants. DNA Research 24(4): 359-369. Link:  https://academic.oup.com/dnaresearch/article-lookup/doi/10.1093/dnares/dsx007

  • Choudhari, S., Grigoriev, A. (2017) Phylogenetic Heatmaps Highlight
    Composition Biases in Sequenced Reads
    .  Microorganisms, 5(1), 4. Link: https://www.mdpi.com/2076-2607/5/1/4

  • Angélica L. González, Olivier Dézerald, Pablo A. Marquet, Gustavo Q. Romero & Diane S. Srivastava. 2017. The multidimensional biogeochemical niche: a demonstration using terrestrial and aquatic communitiesFront. Ecol. Evol. 5:110. *Invited paper to Research Topic: Progress in Ecological Stoichiometry.

2016

  • Webb, P., Whitlow, J.W., Jr. & Venter, D. (2016, in press).  From exploratory talk to abstract reasoning: A case for far transfer?  Educational Psychology Review
  • Zhao Zhao+, Jinglin Fu*+, Soma Dhakal, Alexander Johnson-Buck, Minghui Liu, Ting Zhang, Neal Woodbury, Yan Liu, Nils G. Walter and Hao Yan* “Nano-caged Enzymes with Enhanced Activity and Increased Stability against Protease Digestion”, Nature Communications 2016, 7, 10619.
  • Ratti, M., Naddeo, J.J., Tan, Y., Griepenburg, J.C., Tomko, J., Trout, T., OMalley, S.M., Bubb, D.M., Klein, E.A. Irradiation with visible light enhances the antibacterial toxicity of silver nanoparticles produced by laser ablation. Applied Physics A (2016), 122(4):346.
  • Moorthy, S., Keklak, J., Klein, E.A. Perspective: Adhesion Mediated Signal Transduction in Bacterial Pathogens. Pathogens (2016), 5(1):23.
  • Hong, D., Man, S., Martin, J.V. (2016) A stochastic mechanism for signal propagation in the brain: Force of rapid random fluctuations in membrane potentials of individual neurons, Journal of Theoretical Biology, 389: 225-236.

  • “A Novel Bifunctional Alkylphenol Anesthetic Allows Characterization of GABAA Receptor Subunit Binding Selectivity in Synaptosomes”, K.A. Woll, S. Murlidaran, B. J. Pinch, J. Hénin, X. Wang, R. Salari, M. Covarrubias, W. P. Dailey, G. Brannigan, B. A. Garcia, and R. G. Eckenhoff, J Biol Chem, DOI 10.1074/jbc.M116.736975.
  • Shedding Light on Anesthetic Mechanisms: Application of Photoaffinity Ligands., K.A. Woll,W. P. Dailey, G. Brannigan, and R. G. Eckenhoff, Anesthesia & Analgesia, 10.1213/ANE.0000000000001365 .
  • D. Balasubramanian, E. A. Ohneck, J. Chapman, A. Weiss, M. K. Kim, T. Reyes-Robles, J. Zhong, L. N. Shaw, D. S. Lun, B. Ueberheide, B. Shopsin, and V. J. Torres. Staphylococcus aureus coordinates leukocidin expression and pathogenesis by sensing metabolic fluxes via RpiRc. mBio, 7(3):e00818-16, June 2016.
  • M. K. Kim, A. Lane, J. J. Kelley, and D. S. Lun. E-Flux2 and SPOT: Validated methods for inferring intracellular metabolic flux distributions from transcriptomic data. PLoS ONE, 11(6):e0157101, June 2016.
  • H. Swaminathan, A. Garg, C. M. Grgicak, M. Medard, and D. S. Lun. CEESIt: A computational tool for the interpretation of STR mixtures. Forensic Sci. Int. Genet., 22:149-160, May 2016.
  • J. Kim, M. Fabris, G. Baart, M. K. Kim, A. Goossens, W. Vyverman, P. G. Falkowski, and D. S. Lun. Flux balance analysis of primary metabolism in the diatom Phaeodactylum tricornutum. Plant J., 85(1):161-176, January 2016.
  • Dighton, J. (2016) Fungi in Ecosystem Processes, 2nd Edition, CRC Taylor and Francis, 408pp.

  • Caplan, J. S. et al. (2016) Nutrient foraging strategies of forest shrubs Correspond to interspecific differences in productivity and population growth. Ann. Bot. doi:10.1093/aob/mcw271.

  • J.C. Birget, “Infinitely generated semigroups and polynomial complexity”, International J. of Algebra and Computation 26.04 (2016) pp. 727-750.

  • Xiang J, Zhang Z, Mu Y, Xu X, Guo S, Liu Y, Russo D, Zhu H, Yan B, Bai X Discovery of Novel Tricyclic Thiazepine Derivatives as Anti-Drug-Resistant Cancer Agents by Combining Diversity-Oriented Synthesis and Converging Screening Approach. ACS Comb.Sci. 2016; (18) 230–235. https://www.ncbi.nlm.nih.gov/pubmed/27082930

  • Ribay K, Kim M, Wang W, Pinolini D, Zhu H* Hybrid Modeling of Estrogen Receptor Binding Agents Using Advanced Cheminformatics Tools and Massive Public Data. Front. Environ. Sci. 2016; (4) 12. PMCID: PMC5023020. https://www.ncbi.nlm.nih.gov/pubmed/27642585

  • Kim M, Huang R, Sedykh A, Zhang J, Xia M, Zhu H* Mechanism profiling liver toxicants by using antioxidant response element assay data model and public big data. Environ. Health Perspect. 2016; (124) 634-641. PMCID: PMC4858396 https://www.ncbi.nlm.nih.gov/pubmed/26383846

  • Mu Y, Liu Y, Xiang J, Zhang Q, Zhai S, Russo D P, Zhu H, Bai X, Yan B From fighting depression to conquering tumors: a novel tricyclic thiazepine compound as a tubulin polymerization inhibitor Cell Death and Disease. 2016; (7) e2143.

  • Zhu H, Bouhifd M, Kleinstreuer N, Kroese ED, Liu Z, Luechtefeld T, Pamies D, Shen J, Strauss V, Wu S, Hartung T Supporting read-across using biological data. ALTEX. 2016; (33) 167-182. (ALTEX cover paper. Featured together with following 5 ALTEX papers by Science Feb 12, 2016 “A crystal ball for chemical safety” and Nature Feb 11, 2016 “Legal tussle delays launch of huge toxicity database”) PMCID: PMC4834201 https://www.ncbi.nlm.nih.gov/pubmed/26863516

  • Ball N, Cronin M T, Shen J, Adenuga M D, Blackburn K, Booth E D, Bouhifd M, Donley E, Egnash L, Freeman J J, Hastings C, Juberg D R, Kleensang A, Kleinstreuer N, Kroese E D, Luechtefeld T, Maertens A, Marty S, Naciff J M, Palmer J, Pamies D, Penman M, Richarz A N, Russo D P, Stuard S B, Patlewicz G, van Ravenzwaay B, Wu S, Zhu H, Hartung T Toward Good Read-Across Practice (GRAP) guidance. ALTEX. 2016; (33) 149-166. https://www.ncbi.nlm.nih.gov/pubmed/26863606

  • Luechtefeld T, Maertens A, Russo D P, Rovida C, Zhu H, Hartung T Analysis of publically available skin sensitization data from REACH registrations 2008-2014. ALTEX. 2016; (33) 135-148. https://www.ncbi.nlm.nih.gov/pubmed/26863411

  • Luechtefeld T, Maertens A, Russo D P, Rovida C, Zhu H, Hartung T Analysis of Draize eye irritation testing and its prediction by mining publicly available 2008-2014 REACH data. ALTEX. 2016; (33) 123-134. https://www.ncbi.nlm.nih.gov/pubmed/26863293

  • Luechtefeld T, Maertens A, Russo D P, Rovida C, Zhu H, Hartung T Analysis of public oral toxicity data from REACH registrations 2008-2014. ALTEX. 2016; (33) 111-122. https://www.ncbi.nlm.nih.gov/pubmed/26863198

  • Luechtefeld T, Maertens A, Russo D P, Rovida C, Zhu H, Hartung T Global analysis of publicly available safety data for 9,801 substances registered under REACH from 2008-2014. ALTEX. 2016; (33) 95-109. https://www.ncbi.nlm.nih.gov/pubmed/26863090

  • Zhang Y, Wang Y, Liu A, Xu S L, Zhao B, Zhang Y, Zou H, Wang W, Zhu H, Yan B Modulation of Carbon Nanotube’s Perturbation to the Metabolic Activity of CYP3A4 in the Liver. Advanced Functional Materials. 2016; (26) 841-850. (Advanced Functional Materials cover paper)

  • Huggins T.M., Whiteley J.M., Love, C.T., Lee K., Lee S-H.,Ren Z.J., Biffinger, J.C. 2016. Controlled Growth of Nanostructured Biotemplates with Cobalt and Nitrogen Codoping as a Binderless Lithium-Ion Battery Anode. DOI: 10.1021/acsami.6b09300

  • Ratti, M.#*, Naddeo, J.J.#*, Tan, Y.#, Griepenburg, J.C., Tomko, J.#, Trout, T.#, O’Malley, S.M., Bubb, D.M., Klein, E.A. Irradiation with visible light enhances the antibacterial toxicity of silver nanoparticles produced by laser ablation. Applied Physics A (2016), 122(4):346. 

  • Moorthy,S., Keklak, J., Klein, E.A. Perspective: Adhesion Mediated Signal Transduction in Bacterial Pathogens. Pathogens (2016), 5(1):23. 

  • Karaiskos, S., Grigoriev, A. (2016) Dynamics of tRNA fragments and their targets in aging mammalian brain. F1000Research, 5(ISCB Comm J):2758.  Link: https://f1000research.com/articles/5-2758/

  • Balasubramanian, E. A. Ohneck, J. Chapman, A. Weiss, M. K. Kim, T. Reyes-Robles, J. Zhong, L. N. Shaw, D. S. Lun, B. Ueberheide, B. Shopsin, and V. J. Torres. Staphylococcus aureus coordinates leukocidin expression and pathogenesis by sensing metabolic fluxes via RpiRc. mBio, 7(3):e00818-16, June 2016.

  • Zhu H*, Menghang Xia High throughput screening in toxicology. Springer Science+Business Media LLC, 2016, New York, ISBN 978-1-4939-6344-7. https://www.springer.com/us/book/9781493963447

  • K. Kim, A. Lane, J. J. Kelley, and D. S. Lun. E-Flux2 and SPOT: Validated methods for inferring intracellular metabolic flux distributions from transcriptomic data. PLoS ONE, 11(6):e0157101, June 2016.

  • Swaminathan, A. Garg, C. M. Grgicak, M. Medard, and D. S. Lun. CEESIt: A computational tool for the interpretation of STR mixtures. Forensic Sci. Int. Genet., 22:149-160, May 2016.

  • Kim, M. Fabris, G. Baart, M. K. Kim, A. Goossens, W. Vyverman, P. G. Falkowski, and D. S. Lun. Flux balance analysis of primary metabolism in the diatom Phaeodactylum tricornutum. Plant J., 85(1):161-176, January 2016.

2015

  • M. Caponigro, M. Fornasier, B. Piccoli, E. Trelat: Sparse stabilization and control of alignment models, Mathematical Models and Methods in Applied Sciences, 25 (2015), 521{564.
  • N. Swaminathan, C. M. Grgicak, M. Medard, and D. S. Lun. NOCIt: A computational method to infer the number of contributors to DNA samples analyzed by STR genotyping. Forensic Sci. Int. Genet., 16:172-180, May 2015.
  • John Collins, Ting Zhang, Scott Huston, Fangfang Sun, Percival Zhang and Jinglin Fu* “A Hidden Transhydrogen Activity of A FMN-Bound Diaphorase under Anaerobic Conditions” PLoS One, accepted.
  • Minghui Liu, Jinglin Fu, Xiaodong Qi, Shaun Wootten, Neal W. Woodbury, Yan Liu, Hao Yan* “A three-enzyme pathway with an optimized geometric arrangement to facilitate substrate transfer” ChemBioChem, accepted.
  • Whitlow, J.W., Jr. & Loatman, P.A. (2015).  When patterning discriminations are harder than biconditional ones: A cue constellation approach.  Journal of Experimental Psychology: Animal Learning and Cognition, 41, 354-370.
  • Naddeo, J.J., Ratti, M., OMalley, S.M., Griepenburg, J.C., Bubb, D.M., Klein, E.A. Antibacterial properties of nanoparticles: a comparative review of chemically synthesized and laser-generated particles. Advanced Science, Engineering, and Medicine (2015), 7(12):1044-1057.
  • Interactions of  L-3,5,3?-triiodothyronine, Allopregnanolone, and Ivermectin with the GABA(A) receptor: Evidence for Overlapping Intersubunit Binding Modes, T. Westergard, R. Salari, J.V. Martin, G. Brannigan, PLOS ONE,  DOI: 10.1371/journal.pone.0139072 (2015). (Link)
  • Role of the fourth transmembrane-helix in the allosteric modulation of pentameric ligand-gated ion channels, C. Carswell, C.M Hénault, S. Murlidaran, J.P.D Therien, P.F. Juranka, J.A Surujballi, G. Brannigan, J. E. Baenziger,Structure, DOI:10.1016/j.str.2015.06.020 (2015). (Link)
  • Membrane protein structure, function, and dynamics: a perspective from experiments and theory, Z. Cournia…G. Brannigan…A-N. Bondar, Journal of Membrane Biology DOI:10.1007/s00232-015-9802-0 (2015). (Link)
  • Karaiskos, S., Naqvi, A., Swanson, K., Grigoriev, A. (2015) Age-driven modulation of tRNA-derived fragments in Drosophila and their potential targets. Biology Direct, 10 (1), 51.
  • Smith SD, Kawash JK, Grigoriev A: GROM-RD: resolving genomic biases to improve read depth detection of copy number variants. PeerJ, 2015, 3:e836
  • J. J. Kelley, A. Lane, X. Li, B. Mutthoju, S. Maor, D. Egen, and D. S. Lun. MOST: a software environment for constraint-based metabolic modeling and strain design. Bioinformatics, 31(4):610-611, February 2015.  https://doi.org/10.1093/bioinformatics/btu685

2014

  • N. Bou-Rabee, A. Donev, E. Vanden-Eijnden. Metropolized Integration Schemes for Self-Adjoint Diffusions. Multiscale Modeling and Simulation, 12, 781–831, 2014.
  • N. Bou-Rabee. Time Integrators for Molecular Dynamics. Entropy, 16, 138–162, 2014.
  • B. Piccoli, F. Rossi: Generalized Wasserstein distance and its application to transport equation with source, Archive for Rational Mechanics and Analysis, 211 (2014), 335{358.
  • B. Weiser, R. Salari, R.G. Eckenhoff, G. Brannigan. Computational Investigation of Cholesterol Binding Sites on Mitochondrial VDAC ,  J Phys Chem B., 118 (33) 9852-9860, 2014. 
  • J. Hénin, R. Salari, S. Murlidaran, G. Brannigan. A Predicted binding site for cholesterol on the GABA(A) receptor ,  Biophys J, 106 (9) 1938–1949, 2014. 
  • R. Salari, S. Murlidaran, G. Brannigan, Pentameric ligand-gated ion channels : Insights from Computation , Mol Sim, DOI:10.1080/08927022.2014.896462, 2014.
  • H. Zhu H, J. Zhang, M. Kim, A. Boison, A. Sedykh, K. Moran. Big Data in Chemical Toxicity Research: the Use of High-Throughput Screening Assays to Identify Potential Toxicants. Chem. Res. Tox. 27(10): 1643-1651, October 2014
  • J. Zhang, J-H. Hsieh, H. Zhu. Profiling animal toxicants by automatically mining public bioassay data: a big data approach for computational toxicology. PLoS One 9(6): e99863, June 2014
  • M.G. Niepielko, R. A. Marmion, K. Kim, D. Luor, C. Ray, N. Yakoby. Chorion Patterning: A window into gene regulation and Drosophila species-relatedness. 2014. Molecular Biology & Evolution. 31 (1):154-164.
  • M.G. Niepielko and N. Yakoby. Evolutionary changes in TGF-alpha distribution underlie morphological diversity in Drosophila eggshells. 2014. Development 15;141(24):4710-4715.
  • E.W. Gachomo, T. Kefela, P. Houngnandan, L. Baba-Moussa and, S.O. Kotchoni. Bradyrhizobium japonicum IRAT FA3 increases biomass, yield and drought tolerance in plants. Journal of Biology and Nature, 1(1):12-23, December 2014.
  • Grigoriev, A.*, & Bonini, N. M.* Age-dependent patterns of microRNA RISC loading (2014) Aging, 6(9), 705–706.
  • Choudhari S.^, Lohia R.^, Grigoriev A. (2014) Comparative Metagenome Analysis of an Alaskan Glacier. J. Bioinform. Comput. Biol.
  • Jinglin Fu*, Yuhe Renee Yang, Alexander Johnson-Buck, Minghui Liu, Yan Liu, Nils G. Walter, Neal W. Woodbury and Hao Yan* “Multi-enzyme complexes on DNA scaffolds capable of substrate channeling with an artificial swinging arm” Nature Nanotechnology 2014, 9, 531–536.
  • H. Harikrishnan, V. Shanmugaiah, N. Balasubramanian, M.P. Sharma, S.O. Kotchoni, S. Huang, D.B. Szymanski and, C.J. Staiger. Antagonistic potential of native strain Streptomyces aurantiogriseus VSMGT1014 against sheath blight of rice disease. World Journal of Microbiology and Biotechnology, 30:3149-3161, December 2014.
  • Choi, Y. Ye, D. Salas de la Cruz, W. Liu, K. I. Winey, Y. A. Elabd, J. Runt, R. H. Colby, Macromolecules, 47 (2), 777-790, 2014.“Dielectric and viscoelastic responses of imidazolium-based ionomers with different counterions and side chain lengths.”
  • K. Ip, N. Donoghue, M. K. Kim, and D. S. Lun. Constraint-based modeling of heterologous pathways: Application and experimental demonstration for overproduction of fatty acids inEscherichia coli. Biotechol. Bioeng., 111(10):2056-2066, October 2014.

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