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The Minimum Information about a Molecular Interaction CAusal STatement (MI2CAST)
Author(s) -
Vasundra Touré,
Steven Vercruysse,
Márcio Luís Acencio,
Ruth C. Lovering,
Sandra Orchard,
Glyn Bradley,
Cristina CasalsCasas,
Claudine Chaouiya,
Noemí delToro,
Åsmund Flobak,
Pascale Gaudet,
Henning Hermjakob,
Charles Tapley Hoyt,
Luana Licata,
Astrid Lægreid,
Chris Mungall,
Anne Niknejad,
Simona Panni,
Livia Perfetto,
Pablo Porras,
Dexter Pratt,
Julio Sáez-Rodríguez,
Denis Thieffry,
Paul D. Thomas,
Dénes Türei,
Martin Kuiper
Publication year - 2020
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btaa622
Subject(s) - variety (cybernetics) , computer science , reuse , component (thermodynamics) , interoperability , checklist , statement (logic) , set (abstract data type) , causal model , data science , human–computer interaction , artificial intelligence , world wide web , biology , programming language , ecology , medicine , paleontology , physics , pathology , political science , law , thermodynamics
A large variety of molecular interactions occurs between biomolecular components in cells. When a molecular interaction results in a regulatory effect, exerted by one component onto a downstream component, a so-called 'causal interaction' takes place. Causal interactions constitute the building blocks in our understanding of larger regulatory networks in cells. These causal interactions and the biological processes they enable (e.g. gene regulation) need to be described with a careful appreciation of the underlying molecular reactions. A proper description of this information enables archiving, sharing and reuse by humans and for automated computational processing. Various representations of causal relationships between biological components are currently used in a variety of resources.

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