The Minimum Information about a Molecular Interaction Causal Statement (MI2CAST).

Details

Serval ID
serval:BIB_4DF8A0977CCD
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
The Minimum Information about a Molecular Interaction Causal Statement (MI2CAST).
Journal
Bioinformatics
Author(s)
Touré V., Vercruysse S., Acencio M.L., Lovering R.C., Orchard S., Bradley G., Casals-Casas C., Chaouiya C., Del-Toro N., Flobak Å., Gaudet P., Hermjakob H., Hoyt C.T., Licata L., Lægreid A., Mungall C.J., Niknejad A., Panni S., Perfetto L., Porras P., Pratt D., Saez-Rodriguez J., Thieffry D., Thomas P.D., Türei D., Kuiper M.
ISSN
1367-4811 (Electronic)
ISSN-L
1367-4803
Publication state
Published
Issued date
08/07/2020
Peer-reviewed
Oui
Language
english
Notes
Publication types: Journal Article
Publication Status: aheadofprint
Abstract
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.
Here, we propose a checklist that accommodates current representations, called the Minimum Information about a Molecular Interaction CAusal STatement (MI2CAST). This checklist defines both the required core information, as well as a comprehensive set of other contextual details valuable to the end user and relevant for reusing and reproducing causal molecular interaction information. The MI2CAST checklist can be used as reporting guidelines when annotating and curating causal statements, while fostering uniformity and interoperability of the data across resources.
The checklist together with examples is accessible at https://github.com/MI2CAST/MI2CAST.
Supplementary data are available at Bioinformatics online.
Pubmed
Create date
13/07/2020 11:06
Last modification date
20/01/2021 6:26
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