databases > DOI:10.25504/FAIRsharing.ss78t4

ready SIGNOR, the SIGnaling Network Open Resource

Abbreviation:SIGNOR

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. The core of this project is a collection of more than 11000 manually-annotated causal relationships between proteins that participate in signal transduction. 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.

Homepage http://signor.uniroma2.it/

Developed in Italy

Created in 2015





How to cite this record FAIRsharing.org: SIGNOR; SIGNOR, the SIGnaling Network Open Resource; DOI: https://doi.org/10.25504/FAIRsharing.ss78t4; Last edited: March 15, 2019, 2:55 p.m.; Last accessed: Mar 26 2019 4:40 a.m.


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Record added: Oct. 5, 2015, 11:43 a.m.
Record updated: March 15, 2019, 2:20 p.m. by The FAIRsharing Team.

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online documentation User guide
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Additional Information

Contact Gianni Cesareni   ORCID

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Data Curation

Manual curation http://signor.uniroma2.it/curation.php

Data Access

Download http://signor.uniroma2.it/downloads.php
Search https://signor.uniroma2.it/



Publications

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)