| Assessing the utility of coevolution-based residue–residue contact predictions in a sequence-and structure-rich era H Kamisetty, S Ovchinnikov, D Baker Proceedings of the National Academy of Sciences 110 (39), 15674-15679, 2013 | 517 | 2013 |
| Robust and accurate prediction of residue–residue interactions across protein interfaces using evolutionary information S Ovchinnikov, H Kamisetty, D Baker elife 3, e02030, 2014 | 464 | 2014 |
| Protein structure determination using metagenome sequence data S Ovchinnikov, H Park, N Varghese, PS Huang, GA Pavlopoulos, DE Kim, ... Science 355 (6322), 294-298, 2017 | 375 | 2017 |
| Optimization of affinity, specificity and function of designed influenza inhibitors using deep sequencing TA Whitehead, A Chevalier, Y Song, C Dreyfus, SJ Fleishman, ... Nature biotechnology 30 (6), 543-548, 2012 | 359 | 2012 |
| Learning generative models for protein fold families S Balakrishnan, H Kamisetty, JG Carbonell, SI Lee, CJ Langmead Proteins: Structure, Function, and Bioinformatics 79 (4), 1061-1078, 2011 | 275 | 2011 |
| Large-scale determination of previously unsolved protein structures using evolutionary information S Ovchinnikov, L Kinch, H Park, Y Liao, J Pei, DE Kim, H Kamisetty, ... elife 4, e09248, 2015 | 215 | 2015 |
| Origins of coevolution between residues distant in protein 3D structures I Anishchenko, S Ovchinnikov, H Kamisetty, D Baker Proceedings of the National Academy of Sciences 114 (34), 9122-9127, 2017 | 103 | 2017 |
| Computation and functional studies provide a model for the structure of the zinc transporter hZIP4 S Antala, S Ovchinnikov, H Kamisetty, D Baker, RE Dempski Journal of Biological Chemistry 290 (29), 17796-17805, 2015 | 59 | 2015 |
| Accounting for conformational entropy in predicting binding free energies of protein‐protein interactions H Kamisetty, A Ramanathan, C Bailey‐Kellogg, CJ Langmead Proteins: Structure, Function, and Bioinformatics 79 (2), 444-462, 2011 | 57 | 2011 |
| Free energy estimates of all-atom protein structures using generalized belief propagation H Kamisetty, EP Xing, CJ Langmead Journal of Computational Biology 15 (7), 755-766, 2008 | 44 | 2008 |
| Free energy estimates of all-atom protein structures using generalized belief propagation H Kamisetty, EP Xing, CJ Langmead Annual International Conference on Research in Computational Molecular …, 2007 | 28 | 2007 |
| An efficient randomized algorithm for contact-based NMR backbone resonance assignment H Kamisetty, C Bailey-Kellogg, G Pandurangan Bioinformatics 22 (2), 172-180, 2006 | 21 | 2006 |
| Match-tensor: a deep relevance model for search A Jaech, H Kamisetty, E Ringger, C Clarke arXiv preprint arXiv:1701.07795, 2017 | 18 | 2017 |
| Learning generative models of molecular dynamics NS Razavian, H Kamisetty, CJ Langmead BMC genomics 13 (1), 1-13, 2012 | 9 | 2012 |
| The von mises graphical model: Regularized structure and parameter learning N Razavian, H Kamisetty, CJ Langmead Technical Report CMU-CS-11-129, Carnegie Mellon University, 2011 | 9 | 2011 |
| The von mises graphical model: structure learning NS Razavian, H Kamisetty, CJ Langmead Technical Report CMU-CS-11-108, Carnegie Mellon University, 2011 | 9 | 2011 |
| Modeling and inference of sequence-structure specificity H Kamisetty, B Ghosh, C Bailey-Kellog, CJ Langmead Carnegie Mellon University, 2009 | 9 | 2009 |
| A graphical model approach for predicting free energies of association for protein-protein interactions under backbone and side-chain flexibility H Kamisetty, C Bailey-Kellogg, CJ Langmead | 9 | 2008 |
| Approximating correlated equilibria using relaxations on the marginal polytope H Kamisetty, EP Xing, CJ Langmead ICML, 2011 | 8 | 2011 |
| Learning sequence determinants of protein: protein interaction specificity with sparse graphical models H Kamisetty, B Ghosh, CJ Langmead, C Bailey-Kellogg Journal of Computational Biology 22 (6), 474-486, 2015 | 6 | 2015 |
Christopher LangmeadSchool of Computer Science, Carnegie Mellon UniversityVerified email at cs.cmu.edu
