Evidence map›Paper›PMID 40904478›Full record

ArticleMolecular physics2025

Determining Pathways of Minimum Work: Simple Examples.

Ron Elber

Abstract read
In one paragraph

Article in Molecular physics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

1 author.

Ron ElberThe Oden Institute for Computational Engineering and Sciences, University of Texas at Austin, Austin TX, 78712.

Funding

Modeling Membrane Dynamics and PermeationR01GM111364 · NIGMS · UNIVERSITY OF TEXAS AT AUSTIN · PI CARDENAS, ALFREDO, ELBER, RON · 2016 to 2023
$2.5M
NIGMS NIH HHS R01 GM111364
6 · The paper itself

Abstract

The calculations of minimal work pathways (MWP) are considered. These pathways are useful for efficient free energy calculations and in designing Candidate Monte Carlo Moves, which enables efficient sampling of rough landscapes (Nilmeier, J. P.; Crooks, G. E.; Minh, D. D. L.; Chodera, J. D., Nonequilibrium candidate Monte Carlo is an efficient tool for equilibrium simulation.

Indexed as

Free energyminimum work pathwayMolecular DynamicsMonte Carlowork

Identifiers

PMID40904478
PMCPMC12404277

What OpenQuestion holds

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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.