Literature DB >> 26574470

Monte Carlo Sampling with Linear Inverse Kinematics for Simulation of Protein Flexible Regions.

Steven Hayward1, Akio Kitao2.   

Abstract

A Monte Carlo linear inverse-kinematics method for the simulation of protein chains with fixed ends is introduced. It includes backbone bond-angle bending and simultaneous loop and ring closure to allow full proline ring flexibility. An obstacle to linear null-space methods is the eventual drift of the end group. Maintenance of the end group at its initial position by occasional reset is performed in a way that is consistent with the overall methodology and minimally disruptive to the current conformation. The implementation permitted multiple rigid regions within the chain, enabling the simulation of domain movements where domains are rigid bodies connected by flexible interdomain regions. The method was tested on polyalanine, polyglycine, loop 6 of triosephosphate isomerase, and glutamine binding protein. Simulations of glutamine binding protein, where only 11 of the 226 residues at the interdomain bending regions were flexible, accurately reproduced the experimentally determined domain movement.

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Year:  2015        PMID: 26574470     DOI: 10.1021/acs.jctc.5b00215

Source DB:  PubMed          Journal:  J Chem Theory Comput        ISSN: 1549-9618            Impact factor:   6.006


  5 in total

Review 1.  Constraint methods that accelerate free-energy simulations of biomolecules.

Authors:  Alberto Perez; Justin L MacCallum; Evangelos A Coutsias; Ken A Dill
Journal:  J Chem Phys       Date:  2015-12-28       Impact factor: 3.488

2.  Distance-Guided Forward and Backward Chain-Growth Monte Carlo Method for Conformational Sampling and Structural Prediction of Antibody CDR-H3 Loops.

Authors:  Ke Tang; Jinfeng Zhang; Jie Liang
Journal:  J Chem Theory Comput       Date:  2016-12-20       Impact factor: 6.006

3.  Systematic Dissociation Pathway Searches Guided by Principal Component Modes.

Authors:  Zhiye Tang; Chia-En A Chang
Journal:  J Chem Theory Comput       Date:  2017-05-01       Impact factor: 6.006

4.  Investigation of sequence features of hinge-bending regions in proteins with domain movements using kernel logistic regression.

Authors:  Ruth Veevers; Gavin Cawley; Steven Hayward
Journal:  BMC Bioinformatics       Date:  2020-04-09       Impact factor: 3.169

5.  Local Normal Mode Analysis for Fast Loop Conformational Sampling.

Authors:  José Ramón López-Blanco; Yves Dehouck; Ugo Bastolla; Pablo Chacón
Journal:  J Chem Inf Model       Date:  2022-09-13       Impact factor: 6.162

  5 in total

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