Reaction Mechanism Path Sampling Based on Parallel Cascade Selection QM/MM Molecular Dynamics Simulation: PaCS-Q

Quantum mechanics/molecular mechanics (QM/MM) molecular dynamics (MD) simulations are essential for elucidating complex biochemical reaction mechanisms. However, conventional enhanced sampling methods, such as umbrella sampling and metadynamics, often face limitations in computational cost, sampling completeness, and reliance on predefined reaction coordinates. To address these challenges, we developed Parallel Cascade Selection QM/MM MD (PaCS-Q) simulation, a novel strategy that efficiently explores reaction pathways by iteratively identifying high-potential structures for configurational transitions without predefined biases or external constraints. PaCS-Q directly tracks changes in bond distances over time, enabling the identification of transition states and intermediates. Validation of the Claisen rearrangement in chorismate mutase and the peptidyl aldehyde reaction in the Zika virus NS2B/NS3 serine protease demonstrated accurate pathway capture, reduced computational costs, and efficient sampling. With its user-friendly workflow, PaCS-Q broadens accessibility for computational and experimental researchers, offering a robust tool for studying enzymatic mechanisms with high accuracy and efficiency.

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Publication Details

Journal
Journal of Chemical Theory and Computation
Published
2025-03-28
DOI
https://doi.org/10.1021/acs.jctc.5c00169
Citations
2
Primary Topic
Protein Structure and Dynamics
Type
article
Field-Weighted Citation Impact
1.61

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article

Reaction Mechanism Path Sampling Based on Parallel Cascade Selection QM/MM Molecular Dynamics Simulation: PaCS-Q

Kowit Hengphasatporn, Ryuhei Harada, Yasuteru Shigeta, Lian Duan
2 citations
Journal of Chemical Theory and Computation
Protein Structure and Dynamics
1.61
article

Reaction Mechanism Path Sampling Based on Parallel Cascade Selection QM/MM Molecular Dynamics Simulation: PaCS-Q

Kowit Hengphasatporn, Ryuhei Harada, Yasuteru Shigeta, Lian Duan
article en
2 citations

Abstract

Quantum mechanics/molecular mechanics (QM/MM) molecular dynamics (MD) simulations are essential for elucidating complex biochemical reaction mechanisms. However, conventional enhanced sampling methods, such as umbrella sampling and metadynamics, often face limitations in computational cost, sampling completeness, and reliance on predefined reaction coordinates. To address these challenges, we developed Parallel Cascade Selection QM/MM MD (PaCS-Q) simulation, a novel strategy that efficiently explores reaction pathways by iteratively identifying high-potential structures for configurational transitions without predefined biases or external constraints. PaCS-Q directly tracks changes in bond distances over time, enabling the identification of transition states and intermediates. Validation of the Claisen rearrangement in chorismate mutase and the peptidyl aldehyde reaction in the Zika virus NS2B/NS3 serine protease demonstrated accurate pathway capture, reduced computational costs, and efficient sampling. With its user-friendly workflow, PaCS-Q broadens accessibility for computational and experimental researchers, offering a robust tool for studying enzymatic mechanisms with high accuracy and efficiency.

Journal of Chemical Theory and ComputationVol. 21(8)
University of Tsukuba (JP)
Japan Society for the Promotion of Science, Japan Science and Technology Agency
Openalex Percentile: Top 18%
Protein Structure and Dynamics
1.61
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