{"id":"W4391643537","doi":"10.1016/j.chembiol.2024.01.007","title":"Identification of differential biological activity and synergy between the PARP inhibitor rucaparib and its major metabolite","year":2024,"lang":"en","type":"article","venue":"Cell chemical biology","topic":"PARP inhibition in cancer therapy","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"H2020 European Research Council; Institute of Cancer Research; European Regional Development Fund; Instituto de Salud Carlos III; Fundació la Marató de TV3; Agència de Gestió d'Ajuts Universitaris i de Recerca; Fundación Bancaria Caixa d'Estalvis i Pensions de Barcelona; Universitat de Barcelona; Generalitat de Catalunya; Ministerio de Ciencia e Innovación; Institució Catalana de Recerca i Estudis Avançats; Consejo Superior de Investigaciones Científicas; Federación Española de Enfermedades Raras; “la Caixa” Foundation","keywords":"Identification (biology); PARP inhibitor; Metabolite; Poly ADP ribose polymerase; Differential (mechanical device); Computational biology; Chemistry; Pharmacology; Biology; Biochemistry; Physics; DNA; Botany","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":[0.0003882154,0.0004740849,0.0006294714,0.0002826069,0.000151801,0.0006793309,0.0003646961,0.0003067834,0.00139459],"category_scores_gemma":[0.0006950523,0.000200231,0.0006254933,0.0003340534,0.0002187717,0.0005294611,0.0002370422,0.0005268232,0.0002021069],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004671327,"about_ca_system_score_gemma":0.0008111255,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001231845,"about_ca_topic_score_gemma":0.001749027,"domain_scores_codex":[0.9998685,0.00002115792,0.000008796386,0.00004308828,0.00004072197,0.00001761657],"domain_scores_gemma":[0.999759,0.0001217927,0.0000683821,0.00001819266,0.00002087745,0.00001172013],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001958479,0.0008377371,0.04047004,0.001859304,0.0007929876,0.0005694961,0.00004894028,0.5639658,0.2977548,0.00783022,0.001477131,0.08243503],"study_design_scores_gemma":[0.0001681108,0.002032473,0.01211324,0.00002774739,0.0003185158,0.0003109599,0.00004952781,0.7711449,0.2068552,0.003148932,0.003778793,0.00005148781],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9624974,0.002487974,0.02857846,0.0001891437,0.00001715417,0.0000570041,0.00144454,0.0003214937,0.004406856],"genre_scores_gemma":[0.9884829,0.0007892624,0.0091974,0.00004133558,0.000004620048,0.00002583418,0.001147302,0.00002385315,0.0002874785],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00139459,"threshold_uncertainty_score":0.004665375,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02553367487677273,"score_gpt":0.2974137625249629,"score_spread":0.2718800876481902,"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."}}