{"id":"W2145360012","doi":"10.1126/scisignal.134pt5","title":"Defining Drug Targets in Yeast Haploinsufficiency Screens: Application to Human Translational PharmacologyA presentation from the American Society for Pharmacology and Experimental Therapeutics (ASPET) Centennial Meeting at the Experimental Biology 2008 Meeting, San Diego, California, 5 to 9 April 2008.","year":2008,"lang":"en","type":"article","venue":"Science Signaling","topic":"Fungal and yeast genetics research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Haploinsufficiency; Drug; Biology; Drug discovery; Saccharomyces cerevisiae; Computational biology; Mutant; Drug resistance; Genetics; Gene; Pharmacology; Bioinformatics; Phenotype","routes":{"ca_aff":true,"ca_fund":false,"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":[0.001132024,0.0005357742,0.0007291068,0.0007171124,0.0002369559,0.0008271439,0.000420097,0.000457583,0.002076916],"category_scores_gemma":[0.0008554787,0.0002621671,0.0003149132,0.0005559362,0.0003242574,0.0002162187,0.000550022,0.0007254795,0.0007216316],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000296976,"about_ca_system_score_gemma":0.0003340441,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006261318,"about_ca_topic_score_gemma":0.001387604,"domain_scores_codex":[0.9997069,0.0001045419,0.00002703656,0.00004537909,0.00009578293,0.00002028642],"domain_scores_gemma":[0.9996087,0.0002164919,0.00004674547,0.00004099827,0.00005450681,0.00003269038],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005031734,0.0001821482,0.004941537,0.0003258869,0.00005389269,0.0004650224,0.000101549,0.00209973,0.8242206,0.001892193,0.004068107,0.1611463],"study_design_scores_gemma":[0.0002126449,0.002248463,0.02319349,0.00009179071,0.0002633119,0.00373997,0.0001616205,0.02572519,0.8818299,0.003317934,0.05912989,0.00008577297],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4827362,0.03973095,0.4519839,0.0032811,0.0004194096,0.001353536,0.005811146,0.003777714,0.01090597],"genre_scores_gemma":[0.6782714,0.04177243,0.2658367,0.001018898,0.0001071389,0.0008911342,0.005324551,0.0004679398,0.006309803],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002076916,"threshold_uncertainty_score":0.006947994,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02481284091641884,"score_gpt":0.3468464919568252,"score_spread":0.3220336510404063,"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."}}