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Weighted Ensemble Simulation: Advances in methods, software, and applications.

Lillian T Chong1, Daniel M Zuckerman2

  • 1Department of Chemistry, University of Pittsburgh, Pittsburgh, PA.

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|December 8, 2025
PubMed
Summary
This summary is machine-generated.

Weighted ensemble (WE) path sampling accelerates rare event simulations, reducing computational cost while maintaining kinetic accuracy. Recent advances enhance mechanistic analysis and rate estimation for complex molecular processes.

Keywords:
kineticsmolecular dynamicspath samplingrare events

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Area of Science:

  • Computational Chemistry
  • Molecular Dynamics
  • Biophysics

Background:

  • Weighted ensemble (WE) path sampling is a powerful simulation technique for rare events.
  • Conventional simulations struggle with the computational cost of barrier-crossing processes.
  • WE methods offer a way to simulate these processes with rigorous kinetics and reduced cost.

Purpose of the Study:

  • To review recent advancements in WE methods and software.
  • To highlight tools for mechanistic analysis and rate estimation in path ensembles.
  • To showcase diverse applications of WE in condensed-phase processes.

Main Methods:

  • Review of weighted ensemble (WE) path sampling strategies.
  • Analysis of WE software for mechanistic insights and rate calculations.
  • Application of WE to hybrid quantum mechanics/molecular mechanics (QM/MM) and atomistic simulations.

Main Results:

  • WE enables simulation of microsecond to millisecond/second timescale processes.
  • Successful applications include drug membrane permeation, ligand unbinding, and protein dynamics (e.g., SARS-CoV-2 spike protein).
  • New tools improve mechanistic analysis and rate estimation from path ensembles.

Conclusions:

  • WE strategies have significantly advanced the simulation of rare events in condensed-phase systems.
  • Current limitations and challenges for WE methods are identified.
  • WE approaches show great promise for future molecular simulations.