{"id":"W2512442926","doi":"10.1038/nchembio.2166","title":"Covalent targeting of remote cysteine residues to develop CDK12 and CDK13 inhibitors","year":2016,"lang":"en","type":"article","venue":"Nature Chemical Biology","topic":"Protein Degradation and Inhibitors","field":"Biochemistry, Genetics and Molecular Biology","cited_by":372,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"National Cancer Institute; Medical Research Council; Ministero dello Sviluppo Economico; Ontario Genomics Institute; Hope Funds for Cancer Research; Diamond Light Source; National Human Genome Research Institute; Wellcome Trust; National Institutes of Health; Ontario Genomics; Genome Canada; Ontario Ministry of Economic Development and Innovation; Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology; Deutsche Forschungsgemeinschaft; Dana-Farber/Harvard Cancer Center; GlaxoSmithKline; Pfizer; Eli Lilly and Company","keywords":"Kinase; Enhancer; Cell biology; Biology; Transcription factor; Cyclin-dependent kinase; Processivity; Gene expression; Transcription (linguistics); Gene; Chemistry; Molecular biology; Genetics; Polymerase; Cell cycle","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":[0.0003930424,0.0003946053,0.0002525667,0.0001820343,0.0002493278,0.0003337719,0.0004728179,0.0003366008,0.001782451],"category_scores_gemma":[0.0002373147,0.0001824513,0.0002638655,0.0001727541,0.0002701521,0.0002851425,0.0003055574,0.0008346774,0.0003934229],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007015266,"about_ca_system_score_gemma":0.0003491323,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007660979,"about_ca_topic_score_gemma":0.001722544,"domain_scores_codex":[0.9998473,0.00002249567,0.00001377512,0.00002911458,0.00004378402,0.00004349033],"domain_scores_gemma":[0.9998914,0.00001615946,0.0000317744,0.00001560614,0.00001971905,0.00002533677],"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":[0.0002487707,0.0001293593,0.0002184721,0.0001271144,0.00003032206,0.0001747942,0.00003918189,0.00111224,0.9846082,0.003607655,0.0003754818,0.009328512],"study_design_scores_gemma":[0.00003234617,0.0001716141,0.0001903966,0.000004025667,0.00001363204,0.0001409707,0.000007233062,0.0008447956,0.9938783,0.0001091352,0.004601235,0.000006330171],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9475258,0.00405785,0.03685431,0.0004367395,0.0001704039,0.0002535736,0.0003382541,0.0003074445,0.0100556],"genre_scores_gemma":[0.9828812,0.001647453,0.008970802,0.0000978629,0.00001524182,0.00005733794,0.0002035538,0.00003908069,0.006087437],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001782451,"threshold_uncertainty_score":0.005962908,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005339544952155734,"score_gpt":0.2519261609122563,"score_spread":0.2465866159601005,"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."}}