Ram Samudrala
Affiliations: | Microbiology | University of Washington, Seattle, Seattle, WA |
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"Ram Samudrala"Parents
Sign in to add mentorJohn Moult | grad student | University of Maryland Medical School | |
Michael Levitt | post-doc | Stanford |
Children
Sign in to add traineeGong Cheng | grad student | 2002-2008 | University of Washington |
Jeremy A. Horst | grad student | 2010 | University of Washington |
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Publications
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Mangione W, Falls Z, Samudrala R. (2023) Effective holistic characterization of small molecule effects using heterogeneous biological networks. Frontiers in Pharmacology. 14: 1113007 |
Mangione W, Falls Z, Samudrala R. (2022) Optimal COVID-19 therapeutic candidate discovery using the CANDO platform. Frontiers in Pharmacology. 13: 970494 |
Mammen MJ, Tu C, Morris MC, et al. (2022) Proteomic Network Analysis of Bronchoalveolar Lavage Fluid in Ex-Smokers to Discover Implicated Protein Targets and Novel Drug Treatments for Chronic Obstructive Pulmonary Disease. Pharmaceuticals (Basel, Switzerland). 15 |
Falls Z, Fine J, Chopra G, et al. (2022) Accurate Prediction of Inhibitor Binding to HIV-1 Protease Using CANDOCK. Frontiers in Chemistry. 9: 775513 |
Mangione W, Falls Z, Chopra G, et al. (2020) cando.py: Open source software for predictive bioanalytics of large scale drug-protein-disease data. Journal of Chemical Information and Modeling |
Mangione W, Falls Z, Melendy T, et al. (2020) Shotgun drug repurposing biotechnology to tackle epidemics and pandemics. Chemrxiv : the Preprint Server For Chemistry |
Mangione W, Falls Z, Melendy T, et al. (2020) Shotgun drug repurposing biotechnology to tackle epidemics and pandemics. Drug Discovery Today |
Fine J, Konc J, Samudrala R, et al. (2020) CANDOCK: Chemical Atomic Network-based Hierarchical Flexible Docking Algorithm using Generalized Statistical Potentials. Journal of Chemical Information and Modeling |
Fine J, Lackner R, Samudrala R, et al. (2019) Computational chemoproteomics to understand the role of selected psychoactives in treating mental health indications. Scientific Reports. 9: 13155 |
Falls Z, Mangione W, Schuler J, et al. (2019) Exploration of interaction scoring criteria in the CANDO platform. Bmc Research Notes. 12: 318 |