A game-theoretic approach to deciphering the dynamics of amyloid-

chemical kinetics differential equations game theory protein aggregation

Journal

Royal Society open science
ISSN: 2054-5703
Titre abrégé: R Soc Open Sci
Pays: England
ID NLM: 101647528

Informations de publication

Date de publication:
Apr 2020
Historique:
received: 22 10 2019
accepted: 01 04 2020
entrez: 21 5 2020
pubmed: 21 5 2020
medline: 21 5 2020
Statut: epublish

Résumé

Aggregation of amyloid-

Identifiants

pubmed: 32431878
doi: 10.1098/rsos.191814
pii: rsos191814
pmc: PMC7211858
doi:

Types de publication

Journal Article

Langues

eng

Pagination

191814

Subventions

Organisme : NIGMS NIH HHS
ID : P20 GM103476
Pays : United States
Organisme : NIGMS NIH HHS
ID : R01 GM120634
Pays : United States
Organisme : NIA NIH HHS
ID : R56 AG062292
Pays : United States

Informations de copyright

© 2020 The Authors.

Déclaration de conflit d'intérêts

The authors declare that they have no competing interests in this work.

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Auteurs

Preetam Ghosh (P)

Department of Computer Science, Virginia Commonwealth University, Richmond, VA 23220, USA.

Pratip Rana (P)

Department of Computer Science, Virginia Commonwealth University, Richmond, VA 23220, USA.

Vijayaraghavan Rangachari (V)

Department of Chemistry and Biochemistry, School of Mathematics and Natural Sciences, University of Southern Mississippi, Hattiesburg, MS 39406, USA.

Jhinuk Saha (J)

Department of Chemistry and Biochemistry, School of Mathematics and Natural Sciences, University of Southern Mississippi, Hattiesburg, MS 39406, USA.

Edward Steen (E)

Department of Mathematical Science, Montclair State University, Montclair, NJ 07043, USA.

Ashwin Vaidya (A)

Department of Mathematical Science, Montclair State University, Montclair, NJ 07043, USA.

Classifications MeSH