Monte Carlo sampling with linear inverse kinematics for simulation of protein flexible regions

Hayward, Steven ORCID: and Kitao, Akio (2015) Monte Carlo sampling with linear inverse kinematics for simulation of protein flexible regions. Journal of Chemical Theory and Computation, 11 (8). 3895–3905. ISSN 1549-9626

Full text not available from this repository. (Request a copy)


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

Item Type: Article
Additional Information: As part of the ACS Articles on Request e-prints service, ACS authors may choose to e-mail or post this link on their website to distribute up to 50 free e-prints of their final published articles to interested colleagues during the first 12 months of publication. After that 12-month period, any author's article may be accessed without restriction via the same author-directed link that appears above. The link seamlessly directs subscribers to the full text version of the article on the ACS Publications website.
Faculty \ School: Faculty of Science > School of Computing Sciences
UEA Research Groups: Faculty of Science > Research Groups > Computational Biology
Depositing User: Pure Connector
Date Deposited: 03 Aug 2015 14:20
Last Modified: 19 Apr 2023 00:45
DOI: 10.1021/acs.jctc.5b00215

Actions (login required)

View Item View Item