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MASSpy: Building, simulating, and visualizing dynamic biological models in Python using mass action kinetics.

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Title: MASSpy: Building, simulating, and visualizing dynamic biological models in Python using mass action kinetics.
Authors: Haiman ZB; Department of Bioengineering, University of California San Diego, La Jolla, California, United States of America., Zielinski DC; Department of Bioengineering, University of California San Diego, La Jolla, California, United States of America., Koike Y; Department of Bioengineering, University of California San Diego, La Jolla, California, United States of America.; Institute for Systems Biology, Seattle, Washington, United States of America., Yurkovich JT; Department of Bioengineering, University of California San Diego, La Jolla, California, United States of America.; Institute for Systems Biology, Seattle, Washington, United States of America., Palsson BO; Department of Bioengineering, University of California San Diego, La Jolla, California, United States of America.; Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Kongens Lyngby, Denmark.
Source: PLoS computational biology [PLoS Comput Biol] 2021 Jan 28; Vol. 17 (1), pp. e1008208. Date of Electronic Publication: 2021 Jan 28 (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
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  Data: <searchLink fieldCode="JN" term="%22101238922%22">PLoS computational biology</searchLink> [PLoS Comput Biol] 2021 Jan 28; Vol. 17 (1), pp. e1008208. <i>Date of Electronic Publication: </i>2021 Jan 28 (<i>Print Publication: </i>2021).
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        Value: 10.1371/journal.pcbi.1008208
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