databases > DOI:10.25504/FAIRsharing.ss78t4
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ready SIGnaling Network Open Resource


General Information
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.

How to cite this record SIGNOR; SIGnaling Network Open Resource; DOI:; Last edited: Feb. 4, 2021, 2:47 p.m.; Last accessed: Jul 30 2021 6:44 p.m.

This record is maintained by Sinnefa  ORCID  and luanalicata

Record added: Oct. 5, 2015, 11:43 a.m.
Record updated: Feb. 4, 2021, 2:05 p.m. by The FAIRsharing Team.

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SIGNOR: a database of causal relationships between biological entities.

Perfetto L,Briganti L,Calderone A,Perpetuini AC,Iannuccelli M,Langone F,Licata L,Marinkovic M,Mattioni A,Pavlidou T,Peluso D,Petrilli LL,Pirro S,Posca D,Santonico E,Silvestri A,Spada F,Castagnoli L,Cesareni G
Nucleic Acids Res 2015

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Grant Number(s)

  • 322749 (Fraunhofer-Institut fr Angewandte Informationstechnik (FIT), Sankt Augstin, Germany)