Evidence map›Paper›PMID 41356213›Full record

ArticleWiley interdisciplinary reviews. Computational molecular science

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

Lillian T Chong, Daniel M Zuckerman

Abstract read
In one paragraph

Article in Wiley interdisciplinary reviews. Computational molecular science. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed.

  1. Article
  2. Pathway representationDigital discovery · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. D614G reshapes allosteric networks and opening mechanisms of SARS-CoV-2 spikes.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Review
  12. Article
  13. Article
  14. Sustainable electrochemical synthesis of aliphatic nitro-Beilstein journal of organic chemistry · 2025
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Lillian T ChongDepartment of Chemistry, University of Pittsburgh, Pittsburgh, PA.ORCID 0000-0002-0590-483X
Daniel M ZuckermanDepartment of Biomedical Engineering, Oregon Health and Science University, Portland, OR.ORCID 0000-0001-7662-2031

Funding

WESTPA: A high-performance framework for simulating at the frontiers of biologyR01GM115805 · NIGMS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI LILLIAN T CHONG · 2015 to 2026
$4.0M
High Performance Computing and Machine Learning Infrastructure for Oregon Life SciencesS10OD034224 · OD · OREGON HEALTH & SCIENCE UNIVERSITY · PI ELLROTT, KYLE · 2023 to 2023
$2.0M
Regulation of Microtubule DynamicsR01GM115185 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI CHANG, FRED · 2015 to 2018
$1.6M
Catalytic Asymmetric Reductive Coupling Reactions to Prepare Bioactive MoleculesR01GM111805 · NIGMS · CALIFORNIA INSTITUTE OF TECHNOLOGY · PI REISMAN, SARAH ELIZABETH · 2014 to 2015
$586k
NIGMS NIH HHS R01 GM111805NIGMS NIH HHS R01 GM115185NIGMS NIH HHS R01 GM115805NIH HHS S10 OD034224
6 · The paper itself

Abstract

For more than two decades, weighted ensemble (WE) path sampling strategies have enabled the simulation of pathways for rare events-or barrier-crossing processes-with significantly less computing cost than conventional simulations, all while preserving rigorous kinetics. This review highlights recent advances in WE methods and software, including tools for mechanistic analysis of path ensembles and efficient estimation of rates. We showcase successful weighted ensemble applications across a wide range of condensed-phase processes, such as hybrid quantum mechanics/molecular mechanics (QM/MM) simulations of microsecond-timescale chemical reactions, and atomistic simulations of slower processes on the millisecond to seconds timescale. These applications span drug membrane permeation, ligand unbinding, and the large-scale opening of the SARS-CoV-2 spike protein. We also discuss the current limitations and key challenges facing WE strategies, which have yet to reach their full potential.

Indexed as

kineticsmolecular dynamicspath samplingrare events

Identifiers

PMID41356213
PMCPMC12680068

What Socratic holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.