Generative models of conformational dynamics.
作者： Christopher James Langmead
DOI: 10.1007/978-3-319-02970-2_4
关键词: Statistical physics 、 Joint probability distribution 、 Generative grammar 、 Monte Carlo method 、 Chemistry 、 Computational chemistry 、 Parametric statistics 、 Molecular dynamics 、 Context (language use) 、 Graphical model 、 Conformational ensembles
摘要: Atomistic simulations of the conformational dynamics of proteins can be performed using either Molecular Dynamics or Monte Carlo procedures. The ensembles of three-dimensional …
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sci-hub.st 参考文章(53)
Rui Camacho, Alexandre Magalhães, Nuno A. Fonseca, A study on amino acid pairing at the N- and C-termini of helical segments in proteins ,(2008) , 10.1002/PROT
Eric P. Xing, Hetunandan Kamisetty, Christopher J. Langmead, Approximating Correlated Equilibria using Relaxations on the Marginal Polytope international conference on machine learning. pp. 1153- 1160 ,(2011)
Hetunandan Kamisetty, Chris Bailey-Kellogg, Christopher J. Langmead, A graphical model approach for predicting free energies of association for protein-protein interactions under backbone and side-chain flexibility ,(2008)
Hetunandan Kamisetty, Christopher J. Langmead, Narges Sharif Razavian, The von Mises Graphical Model: Regularized Structure and Parameter Learning (CMU-CS-11-129/CMU-CB-11-101) ,(2011)
Hetunandan Kamisetty, Christopher J. Langmead, Narges Sharif Razavian, The von Mises Graphical Model: Expectation Propagation for Inference (CMU-CS-11-130/CMU-CB-11-102) ,(2011)
Nir Friedman, Daniel L. Koller, Probabilistic graphical models : principles and techniques The MIT Press. ,(2009)
Carlos Guestrin, Le Song, Arthur Gretton, Nonparametric Tree Graphical Models. international conference on artificial intelligence and statistics. pp. 765- 772 ,(2010)
Thomas P. Minka, Expectation propagation for approximate Bayesian inference uncertainty in artificial intelligence. pp. 362- 369 ,(2001)
Alex Smola, Arthur Gretton, Le Song, Bernhard Schölkopf, A Hilbert Space Embedding for Distributions Lecture Notes in Computer Science. pp. 13- 31 ,(2007) , 10.1007/978-3-540-75225-7_5
Nina Singhal, Christopher D. Snow, Vijay S. Pande, Using path sampling to build better Markovian state models: Predicting the folding rate and mechanism of a tryptophan zipper beta hairpin Journal of Chemical Physics. ,vol. 121, pp. 415- 425 ,(2004) , 10.1063/1.1738647