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Treffer: GPU-Accelerated Implementation of Constant-pH Molecular Dynamics in NAMD.

Title:
GPU-Accelerated Implementation of Constant-pH Molecular Dynamics in NAMD.
Authors:
Moe S; Department of Chemistry, The University of Chicago, Chicago, Illinois 60637, United States., Chipot C; Laboratoire International Associé Centre National de la Recherche Scientifique et University of Illinois at Urbana-Champaign, Unité Mixte de Recherche No. 7019, Université de Lorraine, 54506 Vandœuvre-les-Nancy Cedex, France.; Theoretical and Computational Biophysics Group, Beckman Institute, and Department of Physics, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, United States.; Department of Biochemistry and Molecular Biology, The University of Chicago, Chicago, Illinois 60637, United States., Roux B; Department of Chemistry, The University of Chicago, Chicago, Illinois 60637, United States.; Department of Biochemistry and Molecular Biology, The University of Chicago, Chicago, Illinois 60637, United States.
Source:
Journal of chemical information and modeling [J Chem Inf Model] 2025 Dec 22; Vol. 65 (24), pp. 13338-13345. Date of Electronic Publication: 2025 Dec 09.
Publication Type:
Journal Article
Language:
English
Journal Info:
Publisher: American Chemical Society Country of Publication: United States NLM ID: 101230060 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1549-960X (Electronic) Linking ISSN: 15499596 NLM ISO Abbreviation: J Chem Inf Model Subsets: MEDLINE
Imprint Name(s):
Original Publication: Washington, D.C. : American Chemical Society, c2005-
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Grant Information:
R35 GM152124 United States GM NIGMS NIH HHS; S10 OD028655 United States OD NIH HHS
Substance Nomenclature:
0 (Protons)
Entry Date(s):
Date Created: 20251209 Date Completed: 20251222 Latest Revision: 20260103
Update Code:
20260103
PubMed Central ID:
PMC12756948
DOI:
10.1021/acs.jcim.5c02162
PMID:
41364919
Database:
MEDLINE

Weitere Informationen

We introduce a GPU-based implementation of the hybrid nonequilibrium molecular dynamics-Monte Carlo constant-pH simulation method within the NAMD package. Benchmark results demonstrate that the new implementation achieves a substantial speedup over its CPU-based counterpart, while preserving the same level of accuracy. This performance gain expands the practical applicability of pH-controlled, all-atom simulations across a wide range of biomolecular systems. Although exhaustive enumeration of all possible protonation-state combinations remains a major challenge within conventional molecular dynamics frameworks, the ability to simulate at a defined pH─combined with GPU-acceleration─offers a powerful and efficient means for investigating dynamic protonation profiles of biomolecules.