SIGNOR 3.0, the SIGnaling network open resource 3.0: 2022 update. Issue Volume 51:Issue D1(2023) (16th October 2022)

• Record Type: Journal Article
• Authors: Lo Surdo, Prisca; Iannuccelli, Marta; Contino, Silvia; Castagnoli, Luisa; Licata, Luana; Cesareni, Gianni; Perfetto, Livia
• Is Part Of: Nucleic acids research. Volume 51:Issue D1(2023)
• Page Start: D631
• Page End: D637
• Publication Date: 2022-10-16
• Subjects: Nucleic acids -- Periodicals; Molecular biology -- Periodicals; 572.805
• DOI: 10.1093/nar/gkac883
• Languages: English
• ISSNs: 0305-1048

Abstract

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.