Evidence map›Paper›PMID 38230998›Full record

ArticleThe journal of physical chemistry. B2024

Improved Prediction of Molecular Response to Pulling by Combining Force Tempering with Replica Exchange Methods.

Yuvraj Singh, Glen M Hocky

Abstract read
In one paragraph

Article in The journal of physical chemistry. B, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. A direct computational assessment of vinculin-actin unbinding kinetics reveals catch-bonding behavior.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  3. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Yuvraj SinghDepartment of Chemistry, New York University, New York, New York 10003, United States.ORCID 0000-0003-3022-6871
Glen M HockyDepartment of Chemistry, New York University, New York, New York 10003, United States.ORCID 0000-0002-5637-0698

Funding

Harnessing simulations to uncover molecular mechanisms of mechanosensingR35GM138312 · NIGMS · NEW YORK UNIVERSITY · PI Glen Hocky · 2020 to 2026
$3.0M
NIGMS NIH HHS R35 GM138312
6 · The paper itself

Abstract

Small mechanical forces play important functional roles in many crucial cellular processes, including in the dynamic behavior of the cytoskeleton and in the regulation of osmotic pressure through membrane-bound proteins. Molecular simulations offer the promise of being able to design the behavior of proteins that sense and respond to these forces. However, it is difficult to predict and identify the effect of the relevant piconewton (pN) scale forces due to their small magnitude. Previously, we introduced the Infinite Switch Simulated Tempering in Force (FISST) method, which allows one to estimate the effect of a range of applied forces from a single molecular dynamics simulation, and also demonstrated that FISST additionally accelerates sampling of a molecule's conformational landscape. For some problems, we find that this acceleration is not sufficient to capture all relevant conformational fluctuations, and hence, here we demonstrate that FISST can be combined with either temperature replica exchange or solute tempering approaches to produce a hybrid method that enables more robust prediction of the effect of small forces on molecular systems.

Indexed as

Molecular Dynamics SimulationProteinsMolecular ConformationTemperatureProteins

Identifiers

PMID38230998
PMCPMC10823473

What OpenQuestion holds

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LicenceCC BY
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 OpenQuestion graph.