• Medientyp: E-Artikel
  • Titel: SIGNOR 3.0, the SIGnaling network open resource 3.0: 2022 update
  • Beteiligte: Lo Surdo, Prisca; Iannuccelli, Marta; Contino, Silvia; Castagnoli, Luisa; Licata, Luana; Cesareni, Gianni; Perfetto, Livia
  • Erschienen: Oxford University Press (OUP), 2023
  • Erschienen in: Nucleic Acids Research, 51 (2023) D1, Seite D631-D637
  • Sprache: Englisch
  • DOI: 10.1093/nar/gkac883
  • ISSN: 0305-1048; 1362-4962
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  • Beschreibung: Abstract The SIGnaling Network Open Resource (SIGNOR 3.0, https://signor.uniroma2.it) is a public repository that captures causal information and represents it according to an ‘activity-flow’ model. SIGNOR provides freely-accessible static maps of causal interactions that can be tailored, pruned and refined to build dynamic and predictive models. Each signaling relationship is annotated with an effect (up/down-regulation) and with the mechanism (e.g. binding, phosphorylation, transcriptional activation, etc.) causing the regulation of the target entity. Since its latest release, SIGNOR has undergone a significant upgrade including: (i) a new website that offers an improved user experience and novel advanced search and graph tools; (ii) a significant content growth adding up to a total of approx. 33,000 manually-annotated causal relationships between more than 8900 biological entities; (iii) an increase in the number of manually annotated pathways, currently including pathways deregulated by SARS-CoV-2 infection or involved in neurodevelopment synaptic transmission and metabolism, among others; (iv) additional features such as new model to represent metabolic reactions and a new confidence score assigned to each interaction.
  • Zugangsstatus: Freier Zugang