Local and long range potentials for heparin-protein systems for coarse-grained simulations.

UNRES heparin physics-based unified coarse-grained model potential of mean force protein-glycosaminoglycan interactions

Journal

Biopolymers
ISSN: 1097-0282
Titre abrégé: Biopolymers
Pays: United States
ID NLM: 0372525

Informations de publication

Date de publication:
Aug 2019
Historique:
received: 21 12 2018
revised: 21 02 2019
accepted: 22 02 2019
pubmed: 14 3 2019
medline: 9 1 2020
entrez: 14 3 2019
Statut: ppublish

Résumé

Heparin belongs to glycosaminoglycans (GAGs), a class of periodic linear anionic polysaccharides, which are functionally important components of the extracellular matrix owing to their interactions with various protein targets. Heparin is known to be involved in many cell signaling processes, while the experimental data available for heparin are significantly more abundant than for other GAGs. At the same time, the length and conformational flexibility of the heparin represent major challenges for its theoretical analysis. Coarse-grained (CG) approaches, which enable us to extend the size- and time-scale by orders of magnitude owing to reduction of system representation, appear, therefore, to be useful in simulating these systems. In this work, by using umbrella-sampling molecular dynamics simulations, we derived and parameterized the CG backbone-local potentials of heparin chains and the orientational potentials for the interactions of heparin with amino acid side chains to be further included in the physics-based Unified Coarse-Grained Model of biological macromolecules. With these potentials, simulations of extracellular matrix processes where both heparin and multiple proteins participate will be possible.

Identifiants

pubmed: 30866039
doi: 10.1002/bip.23269
doi:

Substances chimiques

Amino Acids 0
Monosaccharides 0
Proteins 0
Heparin 9005-49-6

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e23269

Subventions

Organisme : Narodowe Centrum Nauki
ID : UMO-2016/21/P/ST4/03995
Organisme : Horizon 2020

Informations de copyright

© 2019 Wiley Periodicals, Inc.

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Auteurs

Sergey A Samsonov (SA)

Faculty of Chemistry, University of Gdańsk, Gdańsk, Poland.

Emilia A Lubecka (EA)

Faculty of Chemistry, University of Gdańsk, Gdańsk, Poland.
Faculty of Mathematics, Physics and Informatics, Institute of Informatics, University of Gdańsk, Gdańsk, Poland.

Krzysztof K Bojarski (KK)

Faculty of Chemistry, University of Gdańsk, Gdańsk, Poland.

Robert Ganzynkowicz (R)

Faculty of Chemistry, University of Gdańsk, Gdańsk, Poland.

Adam Liwo (A)

Faculty of Chemistry, University of Gdańsk, Gdańsk, Poland.

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