A Stochastic Multiscale Model of Cardiac Thin Filament Activation Using Brownian-Langevin Dynamics.


Journal

Biophysical journal
ISSN: 1542-0086
Titre abrégé: Biophys J
Pays: United States
ID NLM: 0370626

Informations de publication

Date de publication:
17 12 2019
Historique:
received: 21 03 2019
revised: 31 07 2019
accepted: 02 08 2019
pubmed: 25 9 2019
medline: 29 9 2020
entrez: 25 9 2019
Statut: ppublish

Résumé

We use Brownian-Langevin dynamics principles to derive a coarse-graining multiscale myofilament model that can describe the thin-filament activation process during contraction. The model links atomistic molecular simulations of protein-protein interactions in the thin-filament regulatory unit to sarcomere-level activation dynamics. We first calculate the molecular interaction energy between tropomyosin and actin surface using Brownian dynamics simulations. This energy profile is then generalized to account for the observed tropomyosin transitions between its regulatory stable states. The generalized energy landscape then served as a basis for developing a filament-scale model using Langevin dynamics. This integrated analysis, spanning molecular to thin-filament scales, is capable of tracking the events of the tropomyosin conformational changes as it moves over the actin surface. The tropomyosin coil with flexible overlap regions between adjacent tropomyosins is represented in the model as a system of coupled stochastic ordinary differential equations. The proposed multiscale approach provides a more detailed molecular connection between tropomyosin dynamics, the trompomyosin-actin interaction-energy landscape, and the generated force by the sarcomere.

Identifiants

pubmed: 31547973
pii: S0006-3495(19)30670-8
doi: 10.1016/j.bpj.2019.08.003
pmc: PMC6990154
pii:
doi:

Substances chimiques

Actins 0
Tropomyosin 0
Calcium SY7Q814VUP

Types de publication

Journal Article Research Support, N.I.H., Extramural

Langues

eng

Sous-ensembles de citation

IM

Pagination

2255-2272

Subventions

Organisme : NHLBI NIH HHS
ID : U01 HL122199
Pays : United States
Organisme : NHLBI NIH HHS
ID : T32 HL105373
Pays : United States
Organisme : NIGMS NIH HHS
ID : R01 GM031749
Pays : United States
Organisme : NHLBI NIH HHS
ID : R01 HL137100
Pays : United States
Organisme : NHLBI NIH HHS
ID : R01 HL105242
Pays : United States
Organisme : NIGMS NIH HHS
ID : P41 GM103426
Pays : United States
Organisme : NHLBI NIH HHS
ID : U01 HL126273
Pays : United States

Commentaires et corrections

Type : CommentIn

Informations de copyright

Copyright © 2019 Biophysical Society. Published by Elsevier Inc. All rights reserved.

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Auteurs

Yasser Aboelkassem (Y)

Department of Bioengineering, University of California San Diego, La Jolla, California. Electronic address: yaboelkassem@ucsd.edu.

Kimberly J McCabe (KJ)

Department of Bioengineering, University of California San Diego, La Jolla, California.

Gary A Huber (GA)

Department of Chemistry and Biochemistry, University of California San Diego, La Jolla, California.

Michael Regnier (M)

Department of Bioengineering, University of Washington, Seattle, Washington.

J Andrew McCammon (JA)

Department of Chemistry and Biochemistry, University of California San Diego, La Jolla, California.

Andrew D McCulloch (AD)

Department of Bioengineering, University of California San Diego, La Jolla, California.

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Classifications MeSH