| Protein aggregation: in silico algorithms and applications R Prabakaran, P Rawat, AM Thangakani, S Kumar, MM Gromiha Biophysical reviews 13, 71-89, 2021 | 43 | 2021 |
| 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 | 30 | 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 | 30 | 2020 |
| Aggregation prone regions in human proteome: Insights from large‐scale data analyses R Prabakaran, D Goel, S Kumar, MM Gromiha Proteins: Structure, Function, and Bioinformatics 85 (6), 1099-1118, 2017 | 27 | 2017 |
| 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 | 22 | 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 | 21 | 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 | 16 | 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 |
| 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 |
| Ab-CoV: a curated database for binding affinity and neutralization profiles of coronavirus-related antibodies P Rawat, D Sharma, R Prabakaran, F Ridha, M Mohkhedkar, ... Bioinformatics 38 (16), 4051-4052, 2022 | 3 | 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 | 2 | 2022 |
| Functional profiling of the sequence stockpile: a review and assessment of in silico prediction tools P Ramakrishnan, Y Bromberg | 1 | 2023 |
| Influence of Amino Acid Properties for Characterizing Amyloid Peptides in Human Proteome R Prabakaran, R Nikam, S Kumar, MM Gromiha Intelligent Computing Theories and Application 10362, 541-548, 2017 | 1 | 2017 |
| Variant Effect Prediction in the Age of Machine Learning Y Bromberg, R Prabakaran, A Kabir, A Shehu Cold Spring Harbor Perspectives in Biology, a041467, 2024 | | 2024 |
| Functional profiling of the sequence stockpile: a review and assessment of in silico prediction tools R Prabakaran, Y Bromberg bioRxiv, 2023.07. 12.548726, 2023 | | 2023 |
| Evaluation of in silico tools for the prediction of protein and peptide aggregation on diverse datasets (vol 23, bbab240, 2022) R Prabakaran, P Rawat, S Kumar, MM Gromiha BRIEFINGS IN BIOINFORMATICS 23 (1), 2022 | | 2022 |
| Aggregation Nucleation Prediction in Peptides and Proteins. Read more... R Prabakaran, P Rawat, S Kumar, MM Gromiha, P Rawat | | |
M. Michael GromihaIndian Institute of Technology Madras在 iitm.ac.in 的电子邮件经过验证
