{"id":"W2155626151","doi":"10.1038/msb.2011.71","title":"Systematic exploration of synergistic drug pairs","year":2011,"lang":"en","type":"article","venue":"Molecular Systems Biology","topic":"Computational Drug Discovery Methods","field":"Computer Science","cited_by":327,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lunenfeld-Tanenbaum Research Institute; Mount Sinai Hospital; University of Toronto","funders":"National Human Genome Research Institute; National Institute of General Medical Sciences; Türkiye Bilimsel ve Teknolojik Araştırma Kurumu; National Institute of Mental Health; Canadian Institutes of Health Research; National Cancer Institute; National Institutes of Health","keywords":"Drug; Biology; Computational biology; Antifungal drug; Antifungal drugs; Pharmacology; Promiscuity; Bioavailability; Drug discovery; Drug development; Genetics; Bioinformatics; Candida albicans","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009549895,0.0001437689,0.0004053146,0.0001825971,0.00003498275,0.00002578972,0.0006709145,0.00006781064,0.000003013082],"category_scores_gemma":[0.0002334738,0.0001229857,0.00009650332,0.0003266983,0.00006082032,0.0002538733,0.00016754,0.00006171505,0.00003747001],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003498674,"about_ca_system_score_gemma":0.00006549841,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001672417,"about_ca_topic_score_gemma":0.000002698032,"domain_scores_codex":[0.9974136,0.001294243,0.0005954045,0.0003347648,0.0001702737,0.0001917671],"domain_scores_gemma":[0.9986038,0.0002312259,0.0003354072,0.0006119204,0.0001617409,0.00005590521],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000004745751,0.0000601332,0.0000793434,0.002683113,0.00009411925,0.00003013142,0.001470965,0.004040479,0.01047183,0.9808197,0.00003566219,0.0002097921],"study_design_scores_gemma":[0.0009787686,0.0005648058,0.0006251908,0.003700738,0.0001483096,0.0001490225,0.0008151395,0.7879235,0.07152077,0.1322869,0.0001247973,0.001162022],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02699986,0.0009293039,0.9689785,0.00003541205,0.0009126114,0.0004342358,0.000002923295,0.00008694749,0.001620239],"genre_scores_gemma":[0.9807249,0.000002776195,0.01906213,0.00003265615,0.00001916688,0.00009997338,0.000005742973,0.000009874037,0.00004273275],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9537251,"threshold_uncertainty_score":0.5015211,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04421310378962579,"score_gpt":0.2785228367357592,"score_spread":0.2343097329461334,"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."}}