{"id":"W2889753652","doi":"10.1021/acschembio.8b00665","title":"Chemical Instability and Promiscuity of Arylmethylidenepyrazolinone-Based MDMX Inhibitors","year":2018,"lang":"en","type":"article","venue":"ACS Chemical Biology","topic":"Synthesis and Characterization of Heterocyclic Compounds","field":"Chemistry","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"FP7 Joint Technology Initiatives; Engineering and Physical Sciences Research Council; Medical Research Council; Ministero dello Sviluppo Economico; Genome Canada; Fundação de Amparo à Pesquisa do Estado de São Paulo; Ontario Ministry of Economic Development and Innovation; European Federation of Pharmaceutical Industries and Associations; Wellcome; Structural Genomics Consortium; Merck KGaA; Novartis Pharma; Wellcome Trust; Pfizer","keywords":"Instability; Promiscuity; Genome instability; Chemistry; Computational biology; Pharmacology; Biology; Biochemistry; DNA; Physics; Ecology; DNA damage","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":[],"consensus_categories":[],"category_scores_codex":[0.0001392139,0.0001862617,0.0003718516,0.00003265673,0.0000388184,0.00001082187,0.0002298322,0.0003412573,0.0005883898],"category_scores_gemma":[0.000393102,0.0001605851,0.0000829381,0.00008112445,0.0008698016,0.00003915928,0.00016792,0.0001671878,0.000008204288],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003731803,"about_ca_system_score_gemma":0.00004310516,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001732628,"about_ca_topic_score_gemma":0.000001227705,"domain_scores_codex":[0.9987265,0.00002450772,0.0004547214,0.0004378721,0.0001008474,0.0002555484],"domain_scores_gemma":[0.9990119,0.000225396,0.0001665943,0.0003754487,0.0001044202,0.0001162242],"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":[0.0001073862,0.000138583,0.01962158,0.00006441368,0.00001985568,3.767622e-7,0.00004550852,1.020843e-8,0.9704541,0.00008184074,0.00003913087,0.00942723],"study_design_scores_gemma":[0.000521959,0.00002674999,0.000681249,0.00002503885,0.00001580439,0.000004872767,0.00001469293,0.00003452733,0.9952186,0.0005351526,0.002750678,0.0001706235],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978095,0.00004716435,0.00003061966,0.0003193501,0.00006008276,0.00005327227,0.00003340039,0.00005978071,0.001586805],"genre_scores_gemma":[0.9990474,0.000008070213,0.0003892324,0.0001304847,0.0002994699,0.00001720063,0.00008018227,0.00001445589,0.00001351616],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02476456,"threshold_uncertainty_score":0.654847,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01461129439739328,"score_gpt":0.2556243942896791,"score_spread":0.2410130998922859,"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."}}