{"id":"W2907957654","doi":"10.1093/bioinformatics/bty1067","title":"UbiHub: a data hub for the explorers of ubiquitination pathways","year":2018,"lang":"en","type":"article","venue":"Bioinformatics","topic":"Ubiquitin and proteasome pathways","field":"Biochemistry, Genetics and Molecular Biology","cited_by":68,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor; Structural Genomics Consortium; University of Toronto","funders":"Eshelman Institute for Innovation, University of North Carolina at Chapel Hill; Janssen Biotech; Innovative Medicines Initiative; Novartis Pharma; Ontario Genomics Institute; Canada Foundation for Innovation; Wellcome Trust; Ontario Ministry of Research, Innovation and Science; Ontario Genomics; Fundação de Amparo à Pesquisa do Estado de São Paulo; Genome Canada; AbbVie; European Federation of Pharmaceutical Industries and Associations; Structural Genomics Consortium; Merck KGaA; Pfizer; Boehringer Ingelheim","keywords":"Ubiquitin; Proteasome; Drug discovery; Deubiquitinating enzyme; Computational biology; Protein degradation; Biology; Ubiquitin-Protein Ligases; Ubiquitin ligase; Cell biology; Bioinformatics; Biochemistry","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003121421,0.002611864,0.001799023,0.004650545,0.001517228,0.004528569,0.00445071,0.001802856,0.05015295],"category_scores_gemma":[0.01041481,0.001369309,0.001829796,0.006043081,0.0009249719,0.004724526,0.007247144,0.003202537,0.04035457],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002320925,"about_ca_system_score_gemma":0.003281244,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008823778,"about_ca_topic_score_gemma":0.01076902,"domain_scores_codex":[0.9983302,0.0002715622,0.000213944,0.000449211,0.000522035,0.0002130965],"domain_scores_gemma":[0.9956496,0.001254541,0.0003159301,0.001366603,0.0007505385,0.0006628254],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001879698,0.0001530775,0.00486627,0.002783298,0.0002871364,0.0004657209,0.000508259,0.004979333,0.006063293,0.02175634,0.8895003,0.06675728],"study_design_scores_gemma":[0.0005692577,0.00007168102,0.004696151,0.0005117609,0.0001317418,0.0003960198,0.0002783197,0.03435472,0.01635121,0.04288685,0.8995396,0.0002127262],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"software","genre_scores_codex":[0.003833953,0.001193168,0.08910866,0.001103276,0.0002837515,0.0003348181,0.5034736,0.3846132,0.01605554],"genre_scores_gemma":[0.03606654,0.001160032,0.1473063,0.00108305,0.0001145462,0.001102561,0.7502816,0.05827999,0.004605378],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.05015295,"threshold_uncertainty_score":0.1677784,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07489918757800679,"score_gpt":0.2935876503722049,"score_spread":0.2186884627941981,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}