SIGNOR, the SIGnaling Network Open Resource: SIGNOR
Bioinformatics and Computational biology Unit, Molecular genetics Lab, University of Rome Tor Vergata | |
Italy | |
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. | |
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Protein | |
Bibliography/Documents, Interaction/Pathway | |
PubMed ID: DOI: | |
English | |
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See the corresponding part in the FAIRsharing record. | |
(2018-12-21) | |
2019-03-28 | |
2024-07-28 | |
Creative Commons Attribution and Share-alike (CC-BY-SA) International 4.0 license |