| Prediction of β-lactamase and its class by Chou’s pseudo-amino acid composition and support vector machine R Kumar, A Srivastava, B Kumari, M Kumar Journal of theoretical biology 365, 96-103, 2015 | 151 | 2015 |
| PalmPred: an SVM based palmitoylation prediction method using sequence profile information B Kumari, R Kumar, M Kumar PloS one 9 (2), e89246, 2014 | 81 | 2014 |
| Intron retention and its impact on gene expression and protein diversity: A review and a practical guide DF Grabski, L Broseus, B Kumari, D Rekosh, ML Hammarskjold, ... Wiley Interdisciplinary Reviews: RNA 12 (1), e1631, 2021 | 65 | 2021 |
| Low complexity and disordered regions of proteins have different structural and amino acid preferences B Kumari, R Kumar, M Kumar Molecular BioSystems 11 (2), 585-594, 2015 | 51 | 2015 |
| Protein sub-nuclear localization prediction using SVM and Pfam domain information R Kumar, S Jain, B Kumari, M Kumar PloS one 9 (6), e98345, 2014 | 36 | 2014 |
| Proteome-wide prediction and annotation of mitochondrial and sub-mitochondrial proteins by incorporating domain information R Kumar, B Kumari, M Kumar Mitochondrion 42, 11-22, 2018 | 32 | 2018 |
| Prediction of endoplasmic reticulum resident proteins using fragmented amino acid composition and support vector machine R Kumar, B Kumari, M Kumar PeerJ 5, e3561, 2017 | 28 | 2017 |
| PredHSP: sequence based proteome-wide heat shock protein prediction and classification tool to unlock the stress biology R Kumar, B Kumari, M Kumar PloS one 11 (5), e0155872, 2016 | 24 | 2016 |
| BacEffluxPred: a two-tier system to predict and categorize bacterial efflux mediated antibiotic resistance proteins D Pandey, B Kumari, N Singhal, M Kumar Scientific Reports 10 (1), 9287, 2020 | 19 | 2020 |
| NRfamPred: A proteome-scale two level method for prediction of nuclear receptor proteins and their sub-families R Kumar, B Kumari, A Srivastava, M Kumar Scientific reports 4 (1), 6810, 2014 | 16 | 2014 |
| miPepBase: a database of experimentally verified peptides involved in molecular mimicry A Garg, B Kumari, R Kumar, M Kumar Frontiers in Microbiology 8, 2053, 2017 | 15 | 2017 |
| Comparative functional analysis of proteins containing low-complexity predicted amyloid regions B Kumari, R Kumar, V Chauhan, M Kumar PeerJ 6, e5823, 2018 | 11 | 2018 |
| Using molecular-mimicry-inducing pathways of pathogens as novel drug targets A Garg, B Kumari, N Singhal, M Kumar Drug Discovery Today 24 (9), 1943-1952, 2019 | 10 | 2019 |
| Genome-scale exon perturbation screens uncover exons critical for cell fitness MS Xiao, AP Damodaran, B Kumari, E Dickson, K Xing, TA On, N Parab, ... Molecular Cell 84 (13), 2553-2572. e19, 2024 | 5 | 2024 |
| Prediction of rare palmitoylation events in proteins B Kumari, R Kumar, M Kumar Journal of Computational Biology 25 (9), 997-1008, 2018 | 5 | 2018 |
| Structural Analysis of Low Complexity Regions of Proteins M Kumar, B Kumari, R Kumar Canadian Journal of Biotechnology 1 (Special), 219, 2017 | 4 | 2017 |
| Identifying residues that determine palmitoylation using association rule mining B Kumari, R Kumar, M Kumar Bioinformatics 35 (17), 2887-2890, 2019 | 2 | 2019 |
| BacARscan: an in silico resource to discern diversity in antibiotic resistance genes D Pandey, B Kumari, N Singhal, M Kumar Biology Methods and Protocols 7 (1), bpac031, 2022 | 1 | 2022 |
| Proteomic study identifies Aurora-A–mediated regulation of alternative splicing through multiple splicing factors AP Damodaran, O Gavard, JP Gagné, ME Rogalska, AK Behera, ... Journal of Biological Chemistry 301 (1), 108000, 2025 | | 2025 |
| Identification of chloroplast and sub-chloroplast proteins from sequence-attributed features using support vector machine and domain information R Kumar, A Garg, B Kumari, A Jain, M Kumar, E Contribution 2021 IEEE Conference on Computational Intelligence in Bioinformatics and …, 2021 | | 2021 |