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10.1016/j.jmb.2021.166835

http://scihub22266oqcxt.onion/10.1016/j.jmb.2021.166835
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33539890!ä!33539890

suck abstract from ncbi


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pmid33539890      J+Mol+Biol 2021 ; 433 (11): 166835
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  • FunCoup 5: Functional Association Networks in All Domains of Life, Supporting Directed Links and Tissue-Specificity #MMPMID33539890
  • Persson E; Castresana-Aguirre M; Buzzao D; Guala D; Sonnhammer ELL
  • J Mol Biol 2021[May]; 433 (11): 166835 PMID33539890show ga
  • FunCoup (https://funcoup.sbc.su.se) is one of the most comprehensive functional association networks of genes/proteins available. Functional associations are inferred by integrating different types of evidence using a redundancy-weighted naive Bayesian approach, combined with orthology transfer. FunCoup's high coverage comes from using eleven different types of evidence, and extensive transfer of information between species. Since the latest update of the database, the availability of source data has improved drastically, and user expectations on a tool for functional associations have grown. To meet these requirements, we have made a new release of FunCoup with updated source data and improved functionality. FunCoup 5 now includes 22 species from all domains of life, and the source data for evidences, gold standards, and genomes have been updated to the latest available versions. In this new release, directed regulatory links inferred from transcription factor binding can be visualized in the network viewer for the human interactome. Another new feature is the possibility to filter by genes expressed in a certain tissue in the network viewer. FunCoup 5 further includes the SARS-CoV-2 proteome, allowing users to visualize and analyze interactions between SARS-CoV-2 and human proteins in order to better understand COVID-19. This new release of FunCoup constitutes a major advance for the users, with updated sources, new species and improved functionality for analysis of the networks.
  • |*Databases, Factual[MESH]
  • |*Gene Regulatory Networks[MESH]
  • |*Organ Specificity[MESH]
  • |*Protein Interaction Maps[MESH]
  • |Bayes Theorem[MESH]
  • |COVID-19/metabolism/virology[MESH]
  • |Genome[MESH]
  • |Host Microbial Interactions[MESH]
  • |Humans[MESH]
  • |Protein Binding[MESH]
  • |Proteins[MESH]
  • |Proteome[MESH]
  • |SARS-CoV-2/isolation & purification/metabolism[MESH]


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