Genetic grouping of SARS-CoV-2 coronavirus sequences using informative subtype markers for pandemic spread visualization von Zhao, Zhengqiao, Sokhansanj, Bahrad A, Malhotra, Charvi, Zheng, Kitty, Rosen, Gail L

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Learning, visualizing and exploring 16S rRNA structure using an attention-based deep neural network von Zhao, Zhengqiao, Woloszynek, Stephen, Agbavor, Felix, Mell, Joshua Chang, Sokhansanj, Bahrad A, Rosen, Gail L

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Amino Acid k-mer Feature Extraction for Quantitative Antimicrobial Resistance (AMR) Prediction by Machine Learning and Model Interpretation for Biological Insights von ValizadehAslani, Taha, Zhao, Zhengqiao, Sokhansanj, Bahrad A, Rosen, Gail L

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Interpretable and Predictive Deep Neural Network Modeling of the SARS-CoV-2 Spike Protein Sequence to Predict COVID-19 Disease Severity von Sokhansanj, Bahrad A, Zhao, Zhengqiao, Rosen, Gail L

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Complet+: a computationally scalable method to improve completeness of large-scale protein sequence clustering von Nguyen, Rachel, Sokhansanj, Bahrad A, Polikar, Robi, Rosen, Gail L

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Predicting Institution Outcomes for Inter Partes Review (IPR) Proceedings at the United States Patent Trial & Appeal Board by Deep Learning of Patent Owner Preliminary Response Bri... von Sokhansanj, Bahrad A., Rosen, Gail L.

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Mapping Data to Deep Understanding: Making the Most of the Deluge of SARS-CoV-2 Genome Sequences von Sokhansanj, Bahrad A, Rosen, Gail L

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Artificial Neural Network Modeling of Fungus-Mediated Extracellular Biosynthesis of Zirconium Nanoparticles Using Standard Penicillium spp von Golnaraghi-Ghomi, A. R., Mohammadi-Khanaposhti, M., Sokhansanj, A., Saadati, Y., Khazraei, E., Kobarfard, F., Barabadi, H., Golnaraghi, A.

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Streamlining Computational Fragment-Based Drug Discovery through Evolutionary Optimization Informed by Ligand-Based Virtual Prescreening von Chandraghatgi, Rohan, Ji, Hai-Feng, Rosen, Gail L., Sokhansanj, Bahrad A.

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Predicting COVID-19 disease severity from SARS-CoV-2 spike protein sequence by mixed effects machine learning von Sokhansanj, Bahrad A., Rosen, Gail L.

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Temporal Global Changes in Gene Expression during Temperature Transition in Yersinia pestis von MOTIN, Vladimir L, GEORGESCU, Anca M, ELLIOTT, Jeffrey M, KEGELMEYER, Laura M, WYROBEK, Andrew J, SLEZAK, Thomas R, BRUBAKER, Robert R, GARCIA, Emilio, FITCH, Joseph P, GU, Pauline P, NELSON, David O, MABERY, Shalini L, GARNHAM, Janine B, SOKHANSANJ, Bahrad A, OTT, Linda L, COLEMAN, Matthew A

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Fragment databases from screened ligands for drug discovery (FDSL-DD) von Wilson, Jerica, Sokhansanj, Bahrad A, Chong, Wei Chuen, Chandraghatgi, Rohan, Rosen, Gail L, Ji, Hai-Feng

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Accelerated search for biomolecular network models to interpret high-throughput experimental data von Datta, Suman, Sokhansanj, Bahrad A

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Estimating the Effect of Human Base Excision Repair Protein Variants on the Repair of Oxidative DNA Base Damage von SOKHANSANJ, Bahrad A, WILSON, David M

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A quantitative model of human DNA base excision repair. I. mechanistic insights von Sokhansanj, Bahrad A., Rodrigue, Garry R., Fitch, J. Patrick, III, David M. Wilson

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Genetic Variability of Yersinia pestis Isolates as Predicted by PCR-Based IS100 Genotyping and Analysis of Structural Genes Encoding Glycerol-3-Phosphate Dehydrogenase (glpD) von Motin, Vladimir L, Georgescu, Anca M, Elliott, Jeffrey M, Hu, Ping, Worsham, Patricia L, Ott, Linda L, Slezak, Tomas R, Sokhansanj, Bahrad A, Regala, Warren M, Brubaker, Robert R, Garcia, Emilio

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Wheat plants containing an Osmotin gene show enhanced ability to produce roots at high NaCl concentration von Sadat Noori, S. A, Sokhansanj, A

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Oxidative DNA damage background estimated by a system model of base excision repair von Sokhansanj, Bahrad A, Wilson, 3rd, David M

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Mining, Modeling, and Evaluation of Subnetworks From Large Biomolecular Networks and Its Comparison Study von Xiaohua Hu, Ng, M., Fang-Xiang Wu, Sokhansanj, B.A.

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Multi-platform investigation of the metabolome in a leptin receptor defective murine model of type 2 diabetes von Gipson, Geoffrey T, Tatsuoka, Kay S, Ball, Rachel J, Sokhansanj, Bahrad A, Hansen, Michael K, Ryan, Terence E, Hodson, Mark P, Sweatman, Brian C, Connor, Susan C

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