| Progress and challenges for the machine learning-based design of fit-for-purpose monoclonal antibodies R Akbar, H Bashour, P Rawat, PA Robert, E Smorodina, TS Cotet, ... MAbs 14 (1), 2008790, 2022 | 68* | 2022 |
| Toward real-world automated antibody design with combinatorial Bayesian optimization A Khan, AI Cowen-Rivers, A Grosnit, PA Robert, V Greiff, E Smorodina, ... Cell Reports Methods 3 (1), 2023 | 44* | 2023 |
| Protein aggregation: in silico algorithms and applications R Prabakaran, P Rawat, AM Thangakani, S Kumar, MM Gromiha Biophysical reviews 13, 71-89, 2021 | 42 | 2021 |
| Unconstrained generation of synthetic antibody–antigen structures to guide machine learning methodology for antibody specificity prediction PA Robert, R Akbar, R Frank, M Pavlović, M Widrich, I Snapkov, ... Nature Computational Science 2 (12), 845-865, 2022 | 33 | 2022 |
| ANuPP: a versatile tool to predict aggregation nucleating regions in peptides and proteins R Prabakaran, P Rawat, S Kumar, MM Gromiha Journal of Molecular Biology 433 (11), 166707, 2021 | 31 | 2021 |
| CPAD 2.0: a repository of curated experimental data on aggregating proteins and peptides P Rawat, R Prabakaran, R Sakthivel, A Mary Thangakani, S Kumar, ... Amyloid 27 (2), 128-133, 2020 | 29 | 2020 |
| Why are ACE2 binding coronavirus strains SARS‐CoV/SARS‐CoV‐2 wild and NL63 mild? P Rawat, S Jemimah, PK Ponnuswamy, MM Gromiha Proteins: Structure, Function, and Bioinformatics 89 (4), 389-398, 2021 | 27 | 2021 |
| An in-silico method for identifying aggregation rate enhancer and mitigator mutations in proteins P Rawat, S Kumar, MM Gromiha International journal of biological macromolecules 118, 1157-1167, 2018 | 25 | 2018 |
| Exploring the sequence features determining amyloidosis in human antibody light chains P Rawat, R Prabakaran, S Kumar, MM Gromiha Scientific Reports 11 (1), 13785, 2021 | 23 | 2021 |
| A novel hybrid SEIQR model incorporating the effect of quarantine and lockdown regulations for COVID-19 R Prabakaran, S Jemimah, P Rawat, D Sharma, MM Gromiha Scientific reports 11 (1), 24073, 2021 | 19 | 2021 |
| Elucidating important structural features for the binding affinity of spike‐SARS‐CoV‐2 neutralizing antibody complexes D Sharma, P Rawat, V Janakiraman, MM Gromiha Proteins: Structure, Function, and Bioinformatics 90 (3), 824-834, 2022 | 17 | 2022 |
| Exploring antibody repurposing for COVID-19: beyond presumed roles of therapeutic antibodies P Rawat, D Sharma, A Srivastava, V Janakiraman, MM Gromiha Scientific reports 11 (1), 10220, 2021 | 15 | 2021 |
| AggreRATE-Pred: a mathematical model for the prediction of change in aggregation rate upon point mutation P Rawat, R Prabakaran, S Kumar, MM Gromiha Bioinformatics 36 (5), 1439-1444, 2020 | 15 | 2020 |
| Evaluation of in silico tools for the prediction of protein and peptide aggregation on diverse datasets R Prabakaran, P Rawat, S Kumar, MM Gromiha Briefings in Bioinformatics 22 (6), bbab240, 2021 | 10 | 2021 |
| AbsoluRATE: An in-silico method to predict the aggregation kinetics of native proteins P Rawat, R Prabakaran, S Kumar, MM Gromiha Biochimica et Biophysica Acta (BBA)-Proteins and Proteomics 1869 (9), 140682, 2021 | 8 | 2021 |
| Adaptive immune receptor repertoire analysis V Mhanna, H Bashour, K Lê Quý, P Barennes, P Rawat, V Greiff, ... Nature Reviews Methods Primers 4 (1), 6, 2024 | 6 | 2024 |
| Understanding the mutational frequency in SARS-CoV-2 proteome using structural features P Rawat, D Sharma, M Pandey, R Prabakaran, MM Gromiha Computers in Biology and Medicine 147, 105708, 2022 | 6 | 2022 |
| Effect of charged mutation on aggregation of a pentapeptide: Insights from molecular dynamics simulations R Prabakaran, P Rawat, N Yasuo, M Sekijima, S Kumar, MM Gromiha Proteins: Structure, Function, and Bioinformatics 90 (2), 405-417, 2022 | 3 | 2022 |
| Predicting the immune escape of SARS-CoV-2 neutralizing antibodies upon mutation D Sharma, P Rawat, V Greiff, V Janakiraman, MM Gromiha Biochimica et Biophysica Acta (BBA)-Molecular Basis of Disease 1870 (2), 166959, 2024 | 2 | 2024 |
| Biophysical cartography of the native and human-engineered antibody landscapes quantifies the plasticity of antibody developability H Bashour, E Smorodina, M Pariset, J Zhong, R Akbar, M Chernigovskaya, ... bioRxiv, 2023.10. 26.563958, 2023 | 2* | 2023 |
