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

Fonseca, Rasmus; Budday, Dominik; van den Bedem, Henry

doi:10.1002/jcc.25138

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

Journal Article · Fri Jan 05 00:00:00 EST 2018 · Journal of Computational Chemistry

DOI:https://doi.org/10.1002/jcc.25138· OSTI ID:1471534

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Stanford Univ., CA (United States). Molecular and Cellular Physiology; SLAC National Accelerator Lab., Menlo Park, CA (United States). Bioscience Division
Univ. of Erlangen-Nuremberg, Erlangen (Germany). Chair of Applied Dynamics
SLAC National Accelerator Lab., Menlo Park, CA (United States). Bioscience Division

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. In this paper, 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. Finally, correlated protein motions identified with our algorithm agree with those from MD simulations.

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Research Organization:: SLAC National Accelerator Laboratory (SLAC), Menlo Park, CA (United States); Stanford Univ., CA (United States); Univ. of Erlangen-Nuremberg, Erlangen (Germany)

Sponsoring Organization:: USDOE; Deutsche Telekom Stiftung (Germany); Novo Nordisk Foundation (Denmark)

Grant/Contract Number:: AC02-76SF00515; NNF15OC0015268

OSTI ID:: 1471534

Journal Information:: Journal of Computational Chemistry, Vol. 39, Issue 12; ISSN 0192-8651

Publisher:: WileyCopyright Statement

Country of Publication:: United States

Language:: English

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Cited by: 3 works

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

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