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

Journal article

Publication Details

Author(s): Fonseca R, Budday D, van den Bedem H
Journal: Journal of Computational Chemistry
Publication year: 2018
ISSN: 0192-8651
Language: English


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 Authors / FAU Editors

Budday, Dominik
Chair of Applied Dynamics

External institutions with authors

Stanford University

How to cite

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.

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).


Last updated on 2019-02-01 at 23:10