z-logo
open-access-imgOpen Access
A modified PATH algorithm rapidly generates transition states comparable to those found by other well established algorithms
Author(s) -
Srinivas Niranj Chandrasekaran,
Jhuma Das,
Nikolay V. Dokholyan,
Charles W. Carter
Publication year - 2016
Publication title -
structural dynamics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.415
H-Index - 29
ISSN - 2329-7778
DOI - 10.1063/1.4941599
Subject(s) - path (computing) , algorithm , consistency (knowledge bases) , transition (genetics) , state (computer science) , transition state , statistical physics , computer science , mathematics , physics , chemistry , artificial intelligence , programming language , biochemistry , gene , catalysis
PATH rapidly computes a path and a transition state between crystal structures by minimizing the Onsager-Machlup action. It requires input parameters whose range of values can generate different transition-state structures that cannot be uniquely compared with those generated by other methods. We outline modifications to estimate these input parameters to circumvent these difficulties and validate the PATH transition states by showing consistency between transition-states derived by different algorithms for unrelated protein systems. Although functional protein conformational change trajectories are to a degree stochastic, they nonetheless pass through a well-defined transition state whose detailed structural properties can rapidly be identified using PATH.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom