| Computational prediction of the effect of amino acid changes on the binding affinity between SARS-CoV-2 spike RBD and human ACE2 C Chen, VS Boorla, D Banerjee, R Chowdhury, VS Cavener, RH Nissly, ... Proceedings of the National Academy of Sciences 118 (42), e2106480118, 2021 | 71 | 2021 |
| Computational biophysical characterization of the SARS-CoV-2 spike protein binding with the ACE2 receptor and implications for infectivity R Chowdhury, VS Boorla, CD Maranas Computational and structural biotechnology journal 18, 2573-2582, 2020 | 34 | 2020 |
| Dynamic studies on intrinsically disordered regions of two paralogous transcription factors reveal rigid segments with important biological functions S Maiti, B Acharya, VS Boorla, B Manna, A Ghosh, S De Journal of molecular biology 431 (7), 1353-1369, 2019 | 27 | 2019 |
| SARS-CoV-2 Omicron (B. 1.1. 529) Infection of Wild White-Tailed Deer in New York City KJ Vandegrift, M Yon, M Surendran Nair, A Gontu, S Ramasamy, ... Viruses 14 (12), 2770, 2022 | 16 | 2022 |
| Assessing the impact of substrate-level enzyme regulations limiting ethanol titer in Clostridium thermocellum using a core kinetic model C Foster, VS Boorla, S Dash, S Gopalakrishnan, TB Jacobson, DG Olson, ... Metabolic engineering 69, 286-301, 2022 | 9 | 2022 |
| IPRO+/−: Computational protein design tool allowing for insertions and deletions R Chowdhury, MJ Grisewood, VS Boorla, Q Yan, BF Pfleger, CD Maranas Structure 28 (12), 1344-1357. e4, 2020 | 8 | 2020 |
| De novo design of high-affinity antibody variable regions (Fv) against the SARS-CoV-2 spike protein VS Boorla, R Chowdhury, CD Maranas BioRxiv, 2020.04. 09.034868, 2020 | 4 | 2020 |
| Rank-ordering of known enzymes as starting points for re-engineering novel substrate activity using a convolutional neural network V Upadhyay, VS Boorla, CD Maranas Metabolic engineering 78, 171-182, 2023 | 3 | 2023 |
| Development and Validation of Indirect Enzyme-Linked Immunosorbent Assays for Detecting Antibodies to SARS-CoV-2 in Cattle, Swine, and Chicken A Gontu, EA Marlin, S Ramasamy, S Neerukonda, G Anil, J Morgan, ... Viruses 14 (7), 1358, 2022 | 3 | 2022 |
| De novo design and Rosetta‐based assessment of high‐affinity antibody variable regions (Fv) against the SARS‐CoV‐2 spike receptor binding domain (RBD) VS Boorla, R Chowdhury, R Ramasubramanian, B Ameglio, R Frick, ... Proteins: Structure, Function, and Bioinformatics 91 (2), 196-208, 2023 | 2 | 2023 |
| ML helps predict enzyme turnover rates VS Boorla, V Upadhyay, CD Maranas Nature Catalysis 5 (8), 655-657, 2022 | 2 | 2022 |
| A CNN model for predicting binding affinity changes between SARS-CoV-2 spike RBD variants and ACE2 homologues C Chen, VS Boorla, R Chowdhury, RH Nissly, A Gontu, SK Chothe, ... bioRxiv, 2022 | 2 | 2022 |
| SARS-CoV-2 Compatible ACE2 Receptors in Little Brown Bats ( Myotis lucifugus) SK Chothe, P Jakka, VS Boorla, S Ramasamy, A Gontu, RH Nissly, ... | 1 | 2022 |
| Dehydrated Biomimetic Membranes with Skinlike Structure and Function H Oh, YM Tu, L Samineni, S De Respino, B Mehrafrooz, H Joshi, ... ACS Applied Materials & Interfaces, 2024 | | 2024 |
| CatPred: A comprehensive framework for deep learning in vitro enzyme kinetic parameters kcat, Km and Ki VS Boorla, CD Maranas bioRxiv, 2024.03. 10.584340, 2024 | | 2024 |
| Protein Structure Guided Machine Learning Models for Enzyme Kinetic Parameter Prediction VS Boorla, CD Maranas 2023 AIChE Annual Meeting, 2023 | | 2023 |
| Computational Design of Protein Nanopores for Selective Binding to Chemical Warfare Agents VS Boorla, B Mehrafrooz, D Sarkar, R Chowdhury, H Oh, M Kumar, ... 2023 AIChE Annual Meeting, 2023 | | 2023 |
| Towards Machine Learning Prediction of Kinetic Properties of Enzyme Variants VS Boorla, CD Maranas 2023 AIChE Annual Meeting, 2023 | | 2023 |
| Little Brown Bats (Myotis lucifugus) Support the Binding of SARS-CoV-2 Spike and Are Likely Susceptible to SARS-CoV-2 Infection SK Chothe, P Jakka, VS Boorla, S Ramasamy, A Gontu, RH Nissly, ... Viruses 15 (5), 1103, 2023 | | 2023 |
| Computational Modeling of Sars-Cov-2 Spike RBD Binding to Human ACE2 Receptor Using Molecular Simulations and Machine Learning VS Boorla, C Chen, R Chowdhury, D Banerjee, VS Cavener, RH Nissly, ... 2022 AIChE Annual Meeting, 2022 | | 2022 |
Costas D. MaranasDonald B. Broughton Professor of Chemical Engineering, Penn State UniversityVerified email at psu.edu
