| 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 | 737 | 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 | 678 | 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 | 530 | 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 | 446 | 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 | 378 | 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 | 272 | 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 | 182 | 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 | 82 | 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 | 65 | 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 | 47 | 2008 |
| Free energy estimates of all-atom protein structures using generalized belief propagation H Kamisetty, EP Xing, CJ Langmead Research in Computational Molecular Biology: 11th Annual International …, 2007 | 27 | 2007 |
| Match-tensor: a deep relevance model for search A Jaech, H Kamisetty, E Ringger, C Clarke arXiv preprint arXiv:1701.07795, 2017 | 25 | 2017 |
| An efficient randomized algorithm for contact-based NMR backbone resonance assignment H Kamisetty, C Bailey-Kellogg, G Pandurangan Bioinformatics 22 (2), 172-180, 2006 | 22 | 2006 |
| 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 | 11 | 2015 |
| Learning generative models of molecular dynamics NS Razavian, H Kamisetty, CJ Langmead BMC genomics 13, 1-13, 2012 | 11 | 2012 |
| The von Mises graphical model: regularized structure and parameter learning N Razavian, H Kamisetty, CJ Langmead Dept. Comput. Sci., Carnegie Mellon Univ., Pittsburgh, PA, USA, Tech. Rep …, 2011 | 10 | 2011 |
| Approximating Correlated Equilibria using Relaxations on the Marginal Polytope. H Kamisetty, EP Xing, CJ Langmead ICML, 1153-1160, 2011 | 9 | 2011 |
| The von mises graphical model: structure learning NS Razavian, H Kamisetty, CJ Langmead Carnegie Mellon University School of Computer Science Technical Report, 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 Technical Report CMU-CS-08-162, Carnegie Mellon University, 2008 | 9 | 2008 |
Christopher LangmeadAmgen and School of Computer Science, Carnegie Mellon University在 cs.cmu.edu 的电子邮件经过验证
