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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. 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 https://signor.uniroma2.it/user_guide.php

Countries that developed this resource Italy

Created in 2015

Taxonomic range

Homo sapiens

Mus musculus

Rattus norvegicus

Knowledge Domains

Subjects

User-defined Tags

COVID-19

How to cite this record FAIRsharing.org: SIGNOR; SIGnaling Network Open Resource; DOI: https://doi.org/10.25504/FAIRsharing.ss78t4; 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.

Show edit history

Edits to 'https://fairsharing.org/FAIRsharing.ss78t4' by 'The FAIRsharing Team' at 14:05, 04 Feb 2021 (approved):

	'standardsImplemented' has been modified:
		Before:
			Minimum Information about a Molecular Interaction Causal Statement
			Systems Biology Markup Language
			BRENDA tissue / enzyme source
		After:
			Minimum Information about a Molecular Interaction Causal Statement
			Systems Biology Markup Language
			BRENDA tissue / enzyme source
			Chemical Entities of Biological Interest
		Added:
			Chemical Entities of Biological Interest
		Removed:

	'related_databases' has been modified:
		Before:
			Molecular INTeraction database
			VirusMentha
			The Network Data Exchange (NDEx)
			DISNOR
		After:
			Molecular INTeraction database
			DrugBank
			PubChem
			miRBase Sequence Database
			VirusMentha
			mentha
			The Network Data Exchange (NDEx)
			DISNOR
		Added:
			DrugBank
			PubChem
			miRBase Sequence Database
			mentha
		Removed:

	'supportLinks' has been modified:
		Before:
			online documentation|http://signor.uniroma2.it/user_guide.php
			online documentation|https://signor.uniroma2.it/statistics.php
		After:
			online documentation|https://signor.uniroma2.it/user_guide.php
			online documentation|https://signor.uniroma2.it/statistics.php
		Added:
			online documentation|https://signor.uniroma2.it/user_guide.php
		Removed:
			online documentation|http://signor.uniroma2.it/user_guide.php

	'description' has been modified:
		Before: 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.
		After: 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.

	'user_defined_tags' has been modified:
		Before:
		After:
			COVID-19
		Added:
			COVID-19
		Removed:

	'onto_disciplines' has been modified:
		Before:
			Life Science
		After:
			Biology
		Added:
			Biology
		Removed:
			Life Science

	'dataProcesses' has been modified:
		Before:
			Manual curation, data curation, http://signor.uniroma2.it/curation.php
			Download, data access, http://signor.uniroma2.it/downloads.php
			Search, data access, https://signor.uniroma2.it/
		After:
			Manual curation, data curation, https://signor.uniroma2.it/curation.php
			Download, data release, https://signor.uniroma2.it/downloads.php
			Search, data access, https://signor.uniroma2.it/
		Added:
			Manual curation, data curation, https://signor.uniroma2.it/curation.php
			Download, data release, https://signor.uniroma2.it/downloads.php
		Removed:
			Manual curation, data curation, http://signor.uniroma2.it/curation.php
			Download, data access, http://signor.uniroma2.it/downloads.php

	'onto_domains' has been modified:
		Before:
			Biocuration
			Gene functional annotation
			Pathway or network prediction
			Protein interactions
			gene-disease association
			literature curation
			molecular interaction
			signaling
		After:
			Biocuration
			Gene functional annotation
			Prediction and recognition
			Protein interactions
			gene-disease association
			literature curation
			molecular interaction
			network model
			proteome
			signaling
		Added:
			Prediction and recognition
			network model
			proteome
		Removed:
			Pathway or network prediction

	'accessPoints' has been modified:
		Before:
		After:
			REST|https://signor.uniroma2.it/APIs.php|SIGNORE API
		Added:
			REST|https://signor.uniroma2.it/APIs.php|SIGNORE API
		Removed:

	'homepage' has been modified:
		Before: http://signor.uniroma2.it/
		After: https://signor.uniroma2.it/user_guide.php

Edits to 'https://fairsharing.org/FAIRsharing.ss78t4' by 'The FAIRsharing Team' at 17:45, 29 Mar 2019 (approved):

	'name' has been modified:
		Before: SIGNOR, the SIGnaling Network Open Resource
		After: SIGnaling Network Open Resource

Edits to 'https://fairsharing.org/FAIRsharing.ss78t4' by 'The FAIRsharing Team' at 14:20, 15 Mar 2019 (approved):

	'supportLinks' has been modified:
		Before:
			online documentation|http://signor.uniroma2.it/user_guide.php
		After:
			online documentation|http://signor.uniroma2.it/user_guide.php
			online documentation|https://signor.uniroma2.it/statistics.php
		Added:
			online documentation|https://signor.uniroma2.it/statistics.php
		Removed:

	'miriam_id' has been modified:
		Before: None
		After: 

	'dataProcesses' has been modified:
		Before:
			Manual curation
			Download
		After:
			Manual curation
			Download
			Search
		Added:
			Search
		Removed:

	'onto_domains' has been modified:
		Before:
			literature curation
			molecular interaction
			signaling
		After:
			Biocuration
			Gene functional annotation
			Pathway or network prediction
			Protein interactions
			gene-disease association
			literature curation
			molecular interaction
			signaling
		Added:
			Biocuration
			Gene functional annotation
			Pathway or network prediction
			Protein interactions
			gene-disease association
		Removed:

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 Release

Download

https://signor.uniroma2.it/downloads.php

Data Curation

Manual curation

https://signor.uniroma2.it/curation.php

Data Access

https://signor.uniroma2.it/

REST Web Services

SIGNORE API

https://signor.uniroma2.it/APIs.php

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

Reporting Guidelines

Minimum Information about a Molecular Interaction Causal Statement

Terminology Artifacts

Models and Formats

Systems Biology Markup Language

Identifier Schemas

No identifier schema standards defined

Metrics

No metrics standards defined

Related Databases

Implementing Policies

This record is not implemented by any policy.

Credit

Record Maintainer

This record is maintained by Sinnefa ORCID and luanalicata

Funds

Fraunhofer-Institut fr Angewandte Informationstechnik (FIT), Sankt Augstin, Germany (Research institute)

Maintains

Bioinformatics and Computational biology Unit, Molecular genetics Lab, University of Rome Tor Vergata, Rome, Italy (University)

Grant Number(s)

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

SIGnaling Network Open Resource

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