{"id":"W4407001803","doi":"10.1016/j.xpro.2025.103605","title":"Protocol to identify small-molecule inhibitors against cancer drug resistance","year":2025,"lang":"en","type":"article","venue":"STAR Protocols","topic":"Cancer-related Molecular Pathways","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Science Foundation of Zhejiang Province; Canadian Institutes of Health Research; Genentech; National Natural Science Foundation of China; Ontario Genomics Institute; European Federation of Pharmaceutical Industries and Associations; Merck KGaA; Ontario Genomics; Genome Canada; Fundação de Amparo à Pesquisa do Estado de São Paulo; McGill University; Bayer; Pfizer; Bristol-Myers Squibb","keywords":"Cancer drugs; Drug resistance; Protocol (science); Cancer; Drug; Computational biology; Pharmacology; Medicine; Biology; Genetics; Pathology","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":[0.001986315,0.001514926,0.001517044,0.001842146,0.002169433,0.000970503,0.001827378,0.001209621,0.103614],"category_scores_gemma":[0.001626091,0.001042037,0.001097339,0.001176387,0.0007080272,0.0008936899,0.0012682,0.003992699,0.03569068],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009464276,"about_ca_system_score_gemma":0.002819392,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001309899,"about_ca_topic_score_gemma":0.003075039,"domain_scores_codex":[0.9983674,0.0003993773,0.0001297428,0.0002535101,0.0005580306,0.0002919726],"domain_scores_gemma":[0.998898,0.0001742109,0.00006832229,0.0002966317,0.0004085412,0.0001541562],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.005055054,0.001568767,0.0004886758,0.003480851,0.0003333727,0.0005663651,0.000392672,0.002884411,0.6114103,0.01931591,0.2694586,0.08504505],"study_design_scores_gemma":[0.001964999,0.00319406,0.001169646,0.0002456522,0.0001517397,0.0007666537,0.0001495357,0.002097635,0.2091271,0.004693281,0.7762741,0.0001656441],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"protocol","genre_scores_codex":[0.06123789,0.01310405,0.4200634,0.009847303,0.007677425,0.1182635,0.1227064,0.01318545,0.2339145],"genre_scores_gemma":[0.1110369,0.01715898,0.2356158,0.005791289,0.0008416708,0.1911706,0.1316528,0.001407624,0.3053243],"genre_candidate":"protocol","genre_consensus":null,"teacher_disagreement_score":0.103614,"threshold_uncertainty_score":0.3466232,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02423710510512955,"score_gpt":0.3793121693668507,"score_spread":0.3550750642617211,"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."}}