databases > DOI:10.25504/FAIRsharing.ss78t4
Did we miss something? Our COVID-19 Collection is growing, but not yet complete. Tell us what's missing. Email contact@fairsharing.org or add missing resources to our spreadsheet

ready 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/

Countries that developed this resource Italy

Created in 2015

Subjects 





How to cite this record FAIRsharing.org: SIGNOR; SIGnaling Network Open Resource; DOI: https://doi.org/10.25504/FAIRsharing.ss78t4; Last edited: April 3, 2019, 9:49 a.m.; Last accessed: Aug 09 2020 6:54 p.m.


This record is maintained by Sinnefa  ORCID  and luanalicata

Record added: Oct. 5, 2015, 11:43 a.m.
Record updated: March 29, 2019, 5:45 p.m. by The FAIRsharing Team.

Show edit history


In Collections
COVID-19 Resources

Support

General

online documentation User guide
online documentation Statistics

Additional Information

Contact Gianni Cesareni   ORCID

Tools

    No tools defined


Access / Retrieve Data

Conditions of Use


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

View Paper (PubMed) View Publication

Related Standards

Terminology Artifacts

Models and Formats

Identifier Schemas

No identifier schema standards defined

Metrics

No metrics standards defined



Implementing Policies

This record is not implemented by any policy.


Credit

Record Maintainer

Funds

Maintains

Grant Number(s)

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