| Normal mode analysis: theory and applications to biological and chemical systems Q Cui, I Bahar CRC press, 2005 | 424 | 2005 |
| Intrinsic dynamics of enzymes in the unbound state and relation to allosteric regulation I Bahar, C Chennubhotla, D Tobi Current opinion in structural biology 17 (6), 633-640, 2007 | 357 | 2007 |
| Signal propagation in proteins and relation to equilibrium fluctuations C Chennubhotla, I Bahar PLoS computational biology 3 (9), e172, 2007 | 272 | 2007 |
| Evol and ProDy for bridging protein sequence evolution and structural dynamics A Bakan, A Dutta, W Mao, Y Liu, C Chennubhotla, TR Lezon, I Bahar Bioinformatics 30 (18), 2681-2683, 2014 | 211 | 2014 |
| Elastic network models for understanding biomolecular machinery: from enzymes to supramolecular assemblies C Chennubhotla, AJ Rader, LW Yang, I Bahar Physical biology 2 (4), S173, 2005 | 207 | 2005 |
| Markov propagation of allosteric effects in biomolecular systems: application to GroEL–GroES C Chennubhotla, I Bahar Molecular systems biology 2 (1), 36, 2006 | 185 | 2006 |
| Categorical dimensions of human odor descriptor space revealed by non-negative matrix factorization JB Castro, A Ramanathan, CS Chennubhotla PloS one 8 (9), e73289, 2013 | 182 | 2013 |
| Insights into equilibrium dynamics of proteins from comparison of NMR and X-ray data with computational predictions LW Yang, E Eyal, C Chennubhotla, JG Jee, AM Gronenborn, I Bahar Structure 15 (6), 741-749, 2007 | 158 | 2007 |
| Report on computational assessment of tumor infiltrating lymphocytes from the International Immuno-Oncology Biomarker Working Group M Amgad, ES Stovgaard, E Balslev, J Thagaard, W Chen, S Dudgeon, ... NPJ breast cancer 6 (1), 16, 2020 | 121 | 2020 |
| Coupling between global dynamics and signal transduction pathways: a mechanism of allostery for chaperonin GroEL C Chennubhotla, Z Yang, I Bahar Molecular BioSystems 4 (4), 287-292, 2008 | 114 | 2008 |
| Protein conformational populations and functionally relevant substates A Ramanathan, A Savol, V Burger, CS Chennubhotla, PK Agarwal Accounts of chemical research 47 (1), 149-156, 2014 | 110 | 2014 |
| Anisotropic fluctuations of amino acids in protein structures: insights from X-ray crystallography and elastic network models E Eyal, C Chennubhotla, LW Yang, I Bahar Bioinformatics 23 (13), i175-i184, 2007 | 93 | 2007 |
| High-throughput virtual screening and validation of a SARS-CoV-2 main protease noncovalent inhibitor A Clyde, S Galanie, DW Kneller, H Ma, Y Babuji, B Blaiszik, A Brace, ... Journal of chemical information and modeling 62 (1), 116-128, 2021 | 82 | 2021 |
| Discovering conformational sub-states relevant to protein function A Ramanathan, A Savol, P Agarwal, CS Chennubhotla Biophysical Journal 100 (3), 172a, 2011 | 82 | 2011 |
| Biologically relevant heterogeneity: metrics and practical insights A Gough, AM Stern, J Maier, T Lezon, TY Shun, C Chennubhotla, ... Slas Discovery: Advancing Life Sciences R&D 22 (3), 213-237, 2017 | 77 | 2017 |
| Sparse PCA. Extracting multi-scale structure from data C Chennubhotla, A Jepson Proceedings Eighth IEEE International Conference on Computer Vision. ICCV …, 2001 | 70 | 2001 |
| The Gaussian network model: Theory and applications AJ Rader, C Chennubhotla, LW Yang, I Bahar Normal mode analysis, 65-88, 2005 | 68 | 2005 |
| Explainable AI (xAI) for anatomic pathology AB Tosun, F Pullara, MJ Becich, DL Taylor, JL Fine, SC Chennubhotla Advances in Anatomic Pathology 27 (4), 241-250, 2020 | 66 | 2020 |
| # COVIDisAirborne: AI-enabled multiscale computational microscopy of delta SARS-CoV-2 in a respiratory aerosol A Dommer, L Casalino, F Kearns, M Rosenfeld, N Wauer, SH Ahn, ... The international journal of high performance computing applications 37 (1 …, 2023 | 59 | 2023 |
| Spectral Embedding and Min Cut for Image Segmentation. FJ Estrada, AD Jepson, C Chennubhotla Bmvc, 1-10, 2004 | 51 | 2004 |
