{"id":"W2066364629","doi":"10.1016/j.cbpa.2009.08.003","title":"Identifying druggable disease-modifying gene products","year":2009,"lang":"en","type":"review","venue":"Current Opinion in Chemical Biology","topic":"Protein Degradation and Inhibitors","field":"Biochemistry, Genetics and Molecular Biology","cited_by":120,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"National Institute of General Medical Sciences; Canadian Institutes of Health Research; National Cancer Institute; National Institutes of Health; Agence Nationale pour la Gestion des Déchets Radioactifs; Arnold and Mabel Beckman Foundation","keywords":"Druggability; Computational biology; Gene; Drug discovery; Disease; Biology; Identification (biology); ENCODE; Interconnectivity; Small molecule; Phenotypic screening; Phenotype; Genetics; Bioinformatics; Computer science; Medicine","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002443142,0.00047997,0.000840124,0.0001777731,0.00005214169,0.00003372493,0.000511116,0.0005176674,0.00001778851],"category_scores_gemma":[0.0004080339,0.0004275985,0.00032387,0.0003197194,0.0001234763,0.000006553658,0.0003021,0.000484544,0.00005659406],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008704136,"about_ca_system_score_gemma":0.0003387259,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001564893,"about_ca_topic_score_gemma":1.259243e-7,"domain_scores_codex":[0.9973191,0.0002029033,0.000764308,0.00109489,0.0001233769,0.0004954385],"domain_scores_gemma":[0.9988024,0.0000253901,0.0003148125,0.0006071517,0.00007019942,0.000180044],"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":[0.00001829729,0.0001521838,0.00002030989,0.005945402,0.00002937233,6.172808e-7,0.00000440213,2.644335e-7,0.004800048,0.0001874582,0.005648184,0.9831935],"study_design_scores_gemma":[0.0002501772,0.00003190123,0.000001873574,0.003388503,0.00003571302,0.000009413718,0.000001256735,0.000002272208,0.004057205,0.0002289867,0.9915207,0.0004720065],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00007290924,0.9956064,0.0001477527,0.00006360824,0.003212989,0.0007135932,0.00008448793,0.00003131076,0.00006691006],"genre_scores_gemma":[0.0001116781,0.9890853,0.0003441098,0.000023331,0.002386983,0.0002116238,0.007737203,0.00004041777,0.00005935306],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9858725,"threshold_uncertainty_score":0.9998176,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1164099642721179,"score_gpt":0.4091472242119799,"score_spread":0.292737259939862,"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."}}