Evidence map›Paper›PMID 41536170›Full record

ArticleThe journal of physical chemistry. B2026

Simulating Freely Diffusing Single-Molecule FRET Data with Consideration of Protein Conformational Dynamics.

James Losey, Michael Jauch, Axel Cortes-Cubero, Haoxuan Wu, Adithya Polasa, Stephanie Sauve, Roberto Rivera, David S Matteson, Mahmoud Moradi

Abstract read
In one paragraph

Article in The journal of physical chemistry. B, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

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5 · Who and what money

Authors and funding

9 authors.

James LoseyDepartment of Chemistry and Biochemistry, University of Arkansas, Fayetteville, Arkansas 72701, United States.
Michael JauchDepartment of Statistics, Florida State University, Tallahassee, Florida 32306, United States.
Axel Cortes-CuberoDepartment of Mathematical Sciences, University of Puerto Rico, Mayaguez, Puerto Rico 00681, United States.
Haoxuan WuDepartment of Statistics and Data Science, Cornell University, Ithaca, New York 14850, United States.
Adithya PolasaDepartment of Chemistry and Biochemistry, University of Arkansas, Fayetteville, Arkansas 72701, United States.ORCID 0000-0002-7764-6585
Stephanie SauveDepartment of Chemistry and Biochemistry, University of Arkansas, Fayetteville, Arkansas 72701, United States.ORCID 0009-0008-7423-8050
Roberto RiveraDepartment of Mathematical Sciences, University of Puerto Rico, Mayaguez, Puerto Rico 00681, United States.
David S MattesonDepartment of Statistics and Data Science, Cornell University, Ithaca, New York 14850, United States.
Mahmoud MoradiDepartment of Chemistry and Biochemistry, University of Arkansas, Fayetteville, Arkansas 72701, United States.ORCID 0000-0002-0601-402X

Funding

Physics-based characterization of functionally relevant protein conformational dynamicsR35GM147423 · NIGMS · UNIVERSITY OF ARKANSAS AT FAYETTEVILLE · PI Mahmoud Moradi · 2022 to 2026
$1.7M
NIGMS NIH HHS R35 GM147423
6 · The paper itself

Abstract

Single-molecule Förster resonance energy transfer (smFRET) experiments have greatly contributed to the understanding of the conformational dynamics of proteins and other biomolecules. Generating high-fidelity simulated data for smFRET experiments is an important step toward developing and examining accurate and efficient smFRET data analysis techniques. Here, we use distributions of interdye distances generated using Langevin dynamics to simulate freely diffusing smFRET timestamp data for proteins and biomolecules that have conformational flexibility. We then compare analysis techniques for smFRET data to validate the new module. The Langevin dynamics is used here as an illustrative example to demonstrate how modeling conformational dynamics can be integrated with molecular diffusion and photon emission statistics, all of which are essential for realistic simulation of freely diffusing smFRET data. We also discuss different ways to generalize our approach to make the simulated data more realistic including the employment of molecular dynamics (MD) simulations that is illustrated with an example. The Langevin dynamics module provides a framework for generating timestamp data for systems with a known underlying conformational heterogeneity as a step toward the development of new analysis techniques for smFRET data dealing with flexible proteins or other biomolecular systems.

Indexed as

Fluorescence Resonance Energy TransferMolecular Dynamics SimulationProteinsDiffusionProtein ConformationSingle Molecule ImagingProteins

Identifiers

PMID41536170
PMCPMC12862768

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LicenceCC BY
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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.