Evidence map›Paper›PMID 38315841›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2024

Highly parallelizable path sampling with minimal rejections using asynchronous replica exchange and infinite swaps.

Daniel T Zhang, Lukas Baldauf, Sander Roet, Anders Lervik, Titus S van Erp

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. NaCl Dissociation Explored Through Predictive Power Path Sampling Analysis.Journal of chemical theory and computation · 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

5 authors.

Daniel T Zhang *Department of Chemistry, Norwegian University of Science and Technology, Trondheim N-7491, Norway.ORCID 0000-0002-0296-0860
Lukas Baldauf *Department of Chemistry, Norwegian University of Science and Technology, Trondheim N-7491, Norway.ORCID 0009-0008-6690-1625
Sander RoetDepartment of Chemistry, Utrecht University, Utrecht 3584 CH, Netherlands.ORCID 0000-0003-0732-545X
Anders LervikDepartment of Chemistry, Norwegian University of Science and Technology, Trondheim N-7491, Norway.ORCID 0000-0002-1505-6731
Titus S van ErpDepartment of Chemistry, Norwegian University of Science and Technology, Trondheim N-7491, Norway.ORCID 0000-0001-6600-6657

Funding

Research Council of Norway 275506
6 · The paper itself

Abstract

Capturing rare yet pivotal events poses a significant challenge for molecular simulations. Path sampling provides a unique approach to tackle this issue without altering the potential energy landscape or dynamics, enabling recovery of both thermodynamic and kinetic information. However, despite its exponential acceleration compared to standard molecular dynamics, generating numerous trajectories can still require a long time. By harnessing our recent algorithmic innovations-particularly subtrajectory moves with high acceptance, coupled with asynchronous replica exchange featuring infinite swaps-we establish a highly parallelizable and rapidly converging path sampling protocol, compatible with diverse high-performance computing architectures. We demonstrate our approach on the liquid-vapor phase transition in superheated water, the unfolding of the chignolin protein, and water dissociation. The latter, performed at the ab initio level, achieves comparable statistical accuracy within days, in contrast to a previous study requiring over a year.

Indexed as

asynchronous replica exchangeinfinite swappingMarkov-chain Monte Carlopath samplingrare events

Identifiers

PMID38315841
PMCPMC10873605

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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 OpenQuestion graph.