{"id":"W4386254604","doi":"10.1042/bcj20220217","title":"How many kinases are druggable? A review of our current understanding","year":2023,"lang":"en","type":"review","venue":"Biochemical Journal","topic":"Computational Drug Discovery Methods","field":"Computer Science","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Center for Advancing Translational Sciences; National Institute of Diabetes and Digestive and Kidney Diseases; Ontario Genomics; National Institutes of Health; Ontario Genomics Institute; National Cancer Institute; European Federation of Pharmaceutical Industries and Associations; Merck KGaA; Genome Canada; Fundação de Amparo à Pesquisa do Estado de São Paulo; McGill University; Genentech; Bayer; Pfizer","keywords":"Kinome; Druggability; Kinase; Drug discovery; Computational biology; Biology; Computer science; Bioinformatics; Biochemistry; Gene","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008431178,0.001030729,0.001563495,0.003174386,0.00035839,0.00133511,0.001227829,0.001155546,0.00436894],"category_scores_gemma":[0.001617906,0.0005384008,0.000698277,0.003433245,0.0007228753,0.002383751,0.0006572216,0.001981309,0.00243125],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001042924,"about_ca_system_score_gemma":0.001706237,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001924911,"about_ca_topic_score_gemma":0.002946301,"domain_scores_codex":[0.9996798,0.0000488014,0.0000532117,0.00006857572,0.000118782,0.00003072312],"domain_scores_gemma":[0.9991665,0.0005251644,0.00008624794,0.00002151107,0.0001480688,0.00005252042],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007168993,0.00004824058,0.0001983442,0.02745836,0.0001007885,0.0001157777,0.00007525583,0.0007588842,0.001232155,0.006432983,0.04436153,0.919146],"study_design_scores_gemma":[0.00001361445,0.00007643025,0.0005214688,0.007895129,0.0001271362,0.000655066,0.00005611469,0.0001700719,0.0004281875,0.003758448,0.9862742,0.0000242597],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00007173251,0.9985342,0.0001346593,0.0003501876,0.0001032398,0.000004055023,0.00002813504,0.00000775542,0.0007660762],"genre_scores_gemma":[0.000385765,0.9988322,0.0001735711,0.0002354159,0.00007418789,0.000006120858,0.00003631266,0.000001945797,0.0002546441],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.00436894,"threshold_uncertainty_score":0.01461554,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.290488102294574,"score_gpt":0.4374099299719379,"score_spread":0.1469218276773639,"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."}}