Literature DB >> 11855967

A new method for fast and accurate derivation of molecular conformations.

Ming Zhang1, Lydia E Kavraki.   

Abstract

During molecular simulations, three-dimensional conformations of biomolecules are calculated from the values of their bond angles, bond lengths, and torsional angles. In this paper we study how to efficiently derive three-dimensional molecular conformations from the values of torsional angles. This case is of broad interest as torsional angles greatly affect molecular shape and are always taken into account during simulations. We first review two widely used methods for deriving molecular conformations, the simple rotations scheme and the Denavit-Hartenberg local frames method. We discuss their disadvantages which include extensive bookkeeping, accumulation of numerical errors, and redundancies in the local frames used. Then we introduce a new, fast, and accurate method called the atomgroup local frames method. This new method not only eliminates the disadvantages of earlier approaches but also provides lazy evaluation of atom positions and reduces the computational cost. Our method is especially useful in applications where many conformations are generated or updated such as in energy minimization and conformational search.

Year:  2002        PMID: 11855967     DOI: 10.1021/ci010327z

Source DB:  PubMed          Journal:  J Chem Inf Comput Sci        ISSN: 0095-2338


  7 in total

1.  As-Rigid-As-Possible molecular interpolation paths.

Authors:  Minh Khoa Nguyen; Léonard Jaillet; Stéphane Redon
Journal:  J Comput Aided Mol Des       Date:  2017-03-20       Impact factor: 3.686

2.  Symmetrical Parameterization of Rigid Body Transformations for Biomolecular Structures.

Authors:  Jin Seob Kim; Gregory S Chirikjian
Journal:  J Comput Biol       Date:  2017-11-27       Impact factor: 1.479

Review 3.  Computational models of protein kinematics and dynamics: beyond simulation.

Authors:  Bryant Gipson; David Hsu; Lydia E Kavraki; Jean-Claude Latombe
Journal:  Annu Rev Anal Chem (Palo Alto Calif)       Date:  2012-04-09       Impact factor: 10.745

4.  Artificial intelligence-based multi-objective optimization protocol for protein structure refinement.

Authors:  Di Wang; Ling Geng; Yu-Jun Zhao; Yang Yang; Yan Huang; Yang Zhang; Hong-Bin Shen
Journal:  Bioinformatics       Date:  2020-01-15       Impact factor: 6.931

5.  Elucidating the ensemble of functionally-relevant transitions in protein systems with a robotics-inspired method.

Authors:  Kevin Molloy; Amarda Shehu
Journal:  BMC Struct Biol       Date:  2013-11-08

6.  Rapid sampling of local minima in protein energy surface and effective reduction through a multi-objective filter.

Authors:  Brian S Olson; Amarda Shehu
Journal:  Proteome Sci       Date:  2013-11-07       Impact factor: 2.480

7.  A population-based evolutionary search approach to the multiple minima problem in de novo protein structure prediction.

Authors:  Sameh Saleh; Brian Olson; Amarda Shehu
Journal:  BMC Struct Biol       Date:  2013-11-08
  7 in total

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