standards > reporting guideline > DOI:10.25504/FAIRsharing.zpCPN7
FAIRsharing is now available for record creation, update, and search at, please visit us there! Replacement of this read-only version of the legacy site with the new version of FAIRsharing is planned for early January 2022.

ready Minimum Information about a Molecular Interaction Causal Statement

Abbreviation: MI2CAST

General Information
The Minimum Information about a Molecular Interaction Causal Statement (MI2CAST) guidelines describe the minimum and necessary information to depict causal interactions in molecular biology, as well as contextual details. The aim is to homogenize their representation for better usability and understanding, by making the data “FAIR” (Findable, Accessible, Interoperable and Reproducible). This checklist considers terms used in different formats (e.g., PSI-MITAB2.8, BEL, GO-CAM) and covers the full range of metadata that should ideally be annotated during the curation process to enrich the description of a molecular causal interaction. Complying with these guidelines should be considered as good practice for the annotation of causal statements to generate high quality statements.


Countries that developed this resource Norway

Created in 2020

Taxonomic range

How to cite this record MI2CAST; Minimum Information about a Molecular Interaction Causal Statement; DOI:; Last edited: July 31, 2020, 2:06 p.m.; Last accessed: Dec 03 2021 5:02 a.m.

This record is maintained by vtoure

Record added: June 7, 2020, 10:12 a.m.
Record updated: July 12, 2020, 11 a.m. by vtoure.

Show edit history



Additional Information


No XSD schemas defined

Access / Retrieve Data

Conditions of Use

Data Release


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

Touré et al.
Bioinformatics 2020

Link to Publication

Related Databases (3)
PubMed is a search engine of biomedical literature, provided as a service of the U.S. National Library of Medicine and includes more than 25 million citations for biomedical literature from MEDLINE, life science journals, and online books. Citations may include links to full-text content from PubMed Central and publisher web sites.

SIGnaling Network Open Resource
SIGNOR, the SIGnaling Network Open Resource, organizes and stores in a structured format signaling information published in the scientific literature. The captured information is stored as binary causative relationships between biological entities and can be represented graphically as activity flow. The entire network can be freely downloaded and used to support logic modeling or to interpret high content datasets. Each relationship is linked to the literature reporting the experimental evidence. In addition each node is annotated with the chemical inhibitors that modulate its activity. The signaling information is mapped to the human proteome even if the experimental evidence is based on experiments on mammalian model organisms.

The Cellosaurus is a knowledge resource on cell lines. It attempts to describe all cell lines used in biomedical research. Its scope includes: Immortalized cell lines; naturally immortal cell lines (example: stem cell lines); finite life cell lines when those are distributed and used widely; vertebrate cell line with an emphasis on human, mouse and rat cell lines; and invertebrate (insects and ticks) cell lines. Its scope does not include primary cell lines (with the exception of the finite life cell lines described above) and plant cell lines.

Implementing Policies

This record is not implemented by any policy.