Literature DB >> 15116357

Sampling protein conformations and pathways.

Ming Lei1, Maria I Zavodszky, Leslie A Kuhn, M F Thorpe.   

Abstract

Protein flexibility and rigidity can be analyzed using constraint theory, which views proteins as 3D networks of constraints involving covalent bonds and also including hydrophobic interactions and hydrogen bonds. This article describes an algorithm, ROCK (Rigidity Optimized Conformational Kinetics), which generates new conformations for these complex networks with many interlocked rings while maintaining the constraints. These new conformations are tracked for the flexible regions of a protein, while leaving the rigid regions undisturbed. An application to HIV protease demonstrates how large the flap motion can be. The algorithm is also used to generate conformational pathways between two distinct protein conformations. As an example, directed trajectories between the closed and the occluded conformations of the protein dihydrofolate reductase are determined. Copyright 2004 Wiley Periodicals, Inc.

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Year:  2004        PMID: 15116357     DOI: 10.1002/jcc.20041

Source DB:  PubMed          Journal:  J Comput Chem        ISSN: 0192-8651            Impact factor:   3.376


  12 in total

1.  Maximum Flux Transition Paths of Conformational Change.

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Journal:  J Chem Theory Comput       Date:  2010-08-10       Impact factor: 6.006

2.  Analyzing the flexibility of RNA structures by constraint counting.

Authors:  Simone Fulle; Holger Gohlke
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3.  StoneHinge: hinge prediction by network analysis of individual protein structures.

Authors:  Kevin S Keating; Samuel C Flores; Mark B Gerstein; Leslie A Kuhn
Journal:  Protein Sci       Date:  2009-02       Impact factor: 6.725

4.  Conformational transition pathways explored by Monte Carlo simulation integrated with collective modes.

Authors:  Nigar Kantarci-Carsibasi; Turkan Haliloglu; Pemra Doruker
Journal:  Biophys J       Date:  2008-08-01       Impact factor: 4.033

5.  Towards the prediction of order parameters from molecular dynamics simulations in proteins.

Authors:  Juan R Perilla; Thomas B Woolf
Journal:  J Chem Phys       Date:  2012-04-28       Impact factor: 3.488

6.  Homologous ligands accommodated by discrete conformations of a buried cavity.

Authors:  Matthew Merski; Marcus Fischer; Trent E Balius; Oliv Eidam; Brian K Shoichet
Journal:  Proc Natl Acad Sci U S A       Date:  2015-04-06       Impact factor: 11.205

7.  Using Markov state models to study self-assembly.

Authors:  Matthew R Perkett; Michael F Hagan
Journal:  J Chem Phys       Date:  2014-06-07       Impact factor: 3.488

8.  Discovering new classes of Brugia malayi asparaginyl-tRNA synthetase inhibitors and relating specificity to conformational change.

Authors:  Sai Chetan K Sukuru; Thibaut Crepin; Youli Milev; Liesl C Marsh; Jonathan B Hill; Regan J Anderson; Jonathan C Morris; Anjali Rohatgi; Gavin O'Mahony; Morten Grøtli; Franck Danel; Malcolm G P Page; Michael Härtlein; Stephen Cusack; Michael A Kron; Leslie A Kuhn
Journal:  J Comput Aided Mol Des       Date:  2006-04-28       Impact factor: 3.686

9.  The allosteric switching mechanism in bacteriophage MS2.

Authors:  Matthew R Perkett; Dina T Mirijanian; Michael F Hagan
Journal:  J Chem Phys       Date:  2016-07-21       Impact factor: 3.488

10.  Kinematic Flexibility Analysis: Hydrogen Bonding Patterns Impart a Spatial Hierarchy of Protein Motion.

Authors:  Dominik Budday; Sigrid Leyendecker; Henry van den Bedem
Journal:  J Chem Inf Model       Date:  2018-10-09       Impact factor: 4.956

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