Collision-free poisson motion planning in ultra high-dimensional molecular conformation spaces

Beitrag in einer Fachzeitschrift


Details zur Publikation

Autorinnen und Autoren: Fonseca R, Budday D, van den Bedem H
Zeitschrift: Journal of Computational Chemistry
Jahr der Veröffentlichung: 2018
ISSN: 0192-8651
Sprache: Englisch


Abstract


The function of protein, RNA, and DNA is modulated by fast, dynamic exchanges between three-dimensional conformations. Conformational sampling of biomolecules with exact and nullspace inverse kinematics, using rotatable bonds as revolute joints and noncovalent interactions as holonomic constraints, can accurately characterize these native ensembles. However, sampling biomolecules remains challenging owing to their ultra-high dimensional configuration spaces, and the requirement to avoid (self-) collisions, which results in low acceptance rates. Here, we present two novel mechanisms to overcome these limitations. First, we introduce temporary constraints between near-colliding links. The resulting constraint varieties instantaneously redirect the search for collision-free conformations, and couple motions between distant parts of the linkage. Second, we adapt a randomized Poisson-disk motion planner, which prevents local oversampling and widens the search, to ultra-high dimensions. Tests on several model systems show that the sampling acceptance rate can increase from 16% to 70%, and that the conformational coverage in loop modeling measured as average closeness to existing loop conformations doubled. Correlated protein motions identified with our algorithm agree with those from MD simulations. © 2018 Wiley Periodicals, Inc.



FAU-Autorinnen und Autoren / FAU-Herausgeberinnen und Herausgeber

Budday, Dominik
Lehrstuhl für Technische Dynamik


Einrichtungen weiterer Autorinnen und Autoren

Stanford University


Zitierweisen

APA:
Fonseca, R., Budday, D., & van den Bedem, H. (2018). Collision-free poisson motion planning in ultra high-dimensional molecular conformation spaces. Journal of Computational Chemistry. https://dx.doi.org/10.1002/jcc.25138

MLA:
Fonseca, Rasmus, Dominik Budday, and Henry van den Bedem. "Collision-free poisson motion planning in ultra high-dimensional molecular conformation spaces." Journal of Computational Chemistry (2018).

BibTeX: 

Zuletzt aktualisiert 2019-02-01 um 23:10