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Database Commons - SIGNOR

SIGNOR

Citations: 2

z-index 0.75

Short name SIGNOR
Full name SIGnaling Network Open Resource
Description SIGNOR is a database of causal relationships between biological entities.
URL http://signor.uniroma2.it
Year founded 2013
Last update & version 2015-02-14    v1.0
Availability Free to all users
University/Institution hosted University of Rome Tor Vergata
Address Rome, Italy
City Rome
Province/State
Country/Region Italy
Contact name Gianni Cesareni
Contact email cesareni@uniroma2.it
Data type(s)
Major organism(s)
Keyword(s)
  • biochemical network
  • biological entity
  • signal transduction
Publication(s)
  • SIGNOR: a database of causal relationships between biological entities. [PMID: 26467481]

    Livia Perfetto, Leonardo Briganti, Alberto Calderone, Andrea Cerquone Perpetuini, Marta Iannuccelli, Francesca Langone, Luana Licata, Milica Marinkovic, Anna Mattioni, Theodora Pavlidou, Daniele Peluso, Lucia Lisa Petrilli, Stefano Pirrò, Daniela Posca, Elena Santonico, Alessandra Silvestri, Filomena Spada, Luisa Castagnoli, Gianni Cesareni
    Nucleic acids research 2016:44(D1)
    2 Citations (Google Scholar as of 2016-02-02)

    Abstract: Assembly of large biochemical networks can be achieved by confronting new cell-specific experimental data with an interaction subspace constrained by prior literature evidence. The SIGnaling Network Open Resource, SIGNOR (available on line at http://signor.uniroma2.it), was developed to support such a strategy by providing a scaffold of prior experimental evidence of causal relationships between biological entities. The core of SIGNOR is a collection of approximately 12 000 manually-annotated causal relationships between over 2800 human proteins participating in signal transduction. Other entities annotated in SIGNOR are complexes, chemicals, phenotypes and stimuli. The information captured in SIGNOR can be represented as a signed directed graph illustrating the activation/inactivation relationships between signalling entities. Each entry is associated to the post-translational modifications that cause the activation/inactivation of the target proteins. More than 4900 modified residues causing a change in protein concentration or activity have been curated and linked to the modifying enzymes (about 351 human kinases and 94 phosphatases). Additional modifications such as ubiquitinations, sumoylations, acetylations and their effect on the modified target proteins are also annotated. This wealth of structured information can support experimental approaches based on multi-parametric analysis of cell systems after physiological or pathological perturbations and to assemble large logic models. © The Author(s) 2015. Published by Oxford University Press on behalf of Nucleic Acids Research.

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Tags

Interaction and Network Metabolic and Signaling Pathway Modification
Homo sapiens
biochemical network biological entity signal transduction

Record metadata

  • Created on: 2016-01-16
  • Curated by:
    • Lin Xia [2016-03-28]
    • Lin Liu [2016-02-02]
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