A computational method for identifying an optimal combination of existing drugs to repair the action potentials of SQT1 ventricular myocytes.

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Bibliographic Details
Title: A computational method for identifying an optimal combination of existing drugs to repair the action potentials of SQT1 ventricular myocytes.
Authors: Jæger KH; Simula Research Laboratory, Oslo, Norway., Edwards AG; Simula Research Laboratory, Oslo, Norway.; Department of Pharmacology, University of California, Davis, California United States of America., Giles WR; Simula Research Laboratory, Oslo, Norway.; Department of Physiology and Pharmacology, Faculty of Medicine, University of Calgary, Calgary, Canada., Tveito A; Simula Research Laboratory, Oslo, Norway.
Source: PLoS computational biology [PLoS Comput Biol] 2021 Aug 12; Vol. 17 (8), pp. e1009233. Date of Electronic Publication: 2021 Aug 12 (Print Publication: 2021).
Publication Type: Journal Article; Research Support, Non-U.S. Gov't
Journal Info: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101238922 Publication Model: eCollection Cited Medium: Internet ISSN: 1553-7358 (Electronic) Linking ISSN: 1553734X NLM ISO Abbreviation: PLoS Comput Biol Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1553-7358
DOI:10.1371/journal.pcbi.1009233