Literature DB >> 22524225

Computational models of protein kinematics and dynamics: beyond simulation.

Bryant Gipson1, David Hsu, Lydia E Kavraki, Jean-Claude Latombe.   

Abstract

Physics-based simulation represents a powerful method for investigating the time-varying behavior of dynamic protein systems at high spatial and temporal resolution. Such simulations, however, can be prohibitively difficult or lengthy for large proteins or when probing the lower-resolution, long-timescale behaviors of proteins generally. Importantly, not all questions about a protein system require full space and time resolution to produce an informative answer. For instance, by avoiding the simulation of uncorrelated, high-frequency atomic movements, a larger, domain-level picture of protein dynamics can be revealed. The purpose of this review is to highlight the growing body of complementary work that goes beyond simulation. In particular, this review focuses on methods that address kinematics and dynamics, as well as those that address larger organizational questions and can quickly yield useful information about the long-timescale behavior of a protein.

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Year:  2012        PMID: 22524225      PMCID: PMC4866812          DOI: 10.1146/annurev-anchem-062011-143024

Source DB:  PubMed          Journal:  Annu Rev Anal Chem (Palo Alto Calif)        ISSN: 1936-1327            Impact factor:   10.745


  80 in total

1.  Cyclic coordinate descent: A robotics algorithm for protein loop closure.

Authors:  Adrian A Canutescu; Roland L Dunbrack
Journal:  Protein Sci       Date:  2003-05       Impact factor: 6.725

2.  Atomistic protein folding simulations on the submillisecond time scale using worldwide distributed computing.

Authors:  Vijay S Pande; Ian Baker; Jarrod Chapman; Sidney P Elmer; Siraj Khaliq; Stefan M Larson; Young Min Rhee; Michael R Shirts; Christopher D Snow; Eric J Sorin; Bojan Zagrovic
Journal:  Biopolymers       Date:  2003-01       Impact factor: 2.505

3.  Stochastic roadmap simulation: an efficient representation and algorithm for analyzing molecular motion.

Authors:  Mehmet Serkan Apaydin; Douglas L Brutlag; Carlos Guestrin; David Hsu; Jean-Claude Latombe; Chris Varma
Journal:  J Comput Biol       Date:  2003       Impact factor: 1.479

4.  Fast-folding protein kinetics, hidden intermediates, and the sequential stabilization model.

Authors:  S Banu Ozkan; Ken A Dill; Ivet Bahar
Journal:  Protein Sci       Date:  2002-08       Impact factor: 6.725

5.  A hierarchical approach to all-atom protein loop prediction.

Authors:  Matthew P Jacobson; David L Pincus; Chaya S Rapp; Tyler J F Day; Barry Honig; David E Shaw; Richard A Friesner
Journal:  Proteins       Date:  2004-05-01

6.  Generating stereochemically acceptable protein pathways.

Authors:  Daniel W Farrell; Kirill Speranskiy; M F Thorpe
Journal:  Proteins       Date:  2010-11-01

7.  From induced fit to conformational selection: a continuum of binding mechanism controlled by the timescale of conformational transitions.

Authors:  Huan-Xiang Zhou
Journal:  Biophys J       Date:  2010-03-17       Impact factor: 4.033

8.  Constructing multi-resolution Markov State Models (MSMs) to elucidate RNA hairpin folding mechanisms.

Authors:  Xuhui Huang; Yuan Yao; Gregory R Bowman; Jian Sun; Leonidas J Guibas; Gunnar Carlsson; Vijay S Pande
Journal:  Pac Symp Biocomput       Date:  2010

9.  Hidden Markov models in computational biology. Applications to protein modeling.

Authors:  A Krogh; M Brown; I S Mian; K Sjölander; D Haussler
Journal:  J Mol Biol       Date:  1994-02-04       Impact factor: 5.469

10.  The SeqFEATURE library of 3D functional site models: comparison to existing methods and applications to protein function annotation.

Authors:  Shirley Wu; Mike P Liang; Russ B Altman
Journal:  Genome Biol       Date:  2008-01-16       Impact factor: 13.583

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  11 in total

1.  Maintaining and Enhancing Diversity of Sampled Protein Conformations in Robotics-Inspired Methods.

Authors:  Jayvee R Abella; Mark Moll; Lydia E Kavraki
Journal:  J Comput Biol       Date:  2017-10-16       Impact factor: 1.479

2.  Native State of Complement Protein C3d Analysed via Hydrogen Exchange and Conformational Sampling.

Authors:  Didier Devaurs; Malvina Papanastasiou; Dinler A Antunes; Jayvee R Abella; Mark Moll; Daniel Ricklin; John D Lambris; Lydia E Kavraki
Journal:  Int J Comput Biol Drug Des       Date:  2018-03-24

Review 3.  Crystallographic model validation: from diagnosis to healing.

Authors:  Jane S Richardson; Michael G Prisant; David C Richardson
Journal:  Curr Opin Struct Biol       Date:  2013-09-21       Impact factor: 6.809

4.  Coarse-Grained Conformational Sampling of Protein Structure Improves the Fit to Experimental Hydrogen-Exchange Data.

Authors:  Didier Devaurs; Dinler A Antunes; Malvina Papanastasiou; Mark Moll; Daniel Ricklin; John D Lambris; Lydia E Kavraki
Journal:  Front Mol Biosci       Date:  2017-03-10

5.  Segmenting Proteins into Tripeptides to Enhance Conformational Sampling with Monte Carlo Methods.

Authors:  Laurent Denarie; Ibrahim Al-Bluwi; Marc Vaisset; Thierry Siméon; Juan Cortés
Journal:  Molecules       Date:  2018-02-09       Impact factor: 4.411

6.  MoMA-LigPath: a web server to simulate protein-ligand unbinding.

Authors:  Didier Devaurs; Léa Bouard; Marc Vaisset; Christophe Zanon; Ibrahim Al-Bluwi; Romain Iehl; Thierry Siméon; Juan Cortés
Journal:  Nucleic Acids Res       Date:  2013-05-13       Impact factor: 16.971

7.  Coarse-Grained Models for Protein-Cell Membrane Interactions.

Authors:  Ryan Bradley; Ravi Radhakrishnan
Journal:  Polymers (Basel)       Date:  2013       Impact factor: 4.329

8.  SIMS: a hybrid method for rapid conformational analysis.

Authors:  Bryant Gipson; Mark Moll; Lydia E Kavraki
Journal:  PLoS One       Date:  2013-07-23       Impact factor: 3.240

9.  Theoretical framework for analyzing structural compliance properties of proteins.

Authors:  Keisuke Arikawa
Journal:  Biophys Physicobiol       Date:  2018-02-27

10.  Revealing Unknown Protein Structures Using Computational Conformational Sampling Guided by Experimental Hydrogen-Exchange Data.

Authors:  Didier Devaurs; Dinler A Antunes; Lydia E Kavraki
Journal:  Int J Mol Sci       Date:  2018-10-31       Impact factor: 5.923

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