{"id":"W4353045940","doi":"10.1021/acs.jmedchem.2c02132","title":"Discovery of Nanomolar DCAF1 Small Molecule Ligands","year":2023,"lang":"en","type":"article","venue":"Journal of Medicinal Chemistry","topic":"Protein Degradation and Inhibitors","field":"Biochemistry, Genetics and Molecular Biology","cited_by":65,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University Health Network; Structural Genomics Consortium; University of Toronto; Ontario Institute for Cancer Research","funders":"National Institute of General Medical Sciences; Ontario Genomics Institute; Office of Science; Relay Therapeutics; Ontario Institute for Cancer Research; University of Toronto; European Federation of Pharmaceutical Industries and Associations; Merck KGaA; National Institutes of Health; Ontario Genomics; Genome Canada; Argonne National Laboratory; U.S. Department of Energy; McGill University; Genentech; Government of Ontario; Bayer; Pfizer; Bristol-Myers Squibb","keywords":"Chemistry; Drug discovery; Small molecule; Nanotechnology; Biochemistry","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":[0.000397183,0.0001086491,0.0001979276,0.00004599284,0.00002630712,0.00001030032,0.0002351702,0.0001274947,0.00002068552],"category_scores_gemma":[0.0003317194,0.00008886226,0.0001545509,0.000154836,0.00008428195,0.000007372026,0.00006562189,0.000163701,0.000002839752],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000133868,"about_ca_system_score_gemma":0.0001748509,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002275195,"about_ca_topic_score_gemma":4.042528e-7,"domain_scores_codex":[0.9990245,0.00001506435,0.0004161694,0.0001174375,0.0002775519,0.0001492844],"domain_scores_gemma":[0.9992049,0.00001426149,0.0003442772,0.0001813419,0.0001639939,0.00009127958],"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":[0.00009859397,0.00003635021,0.0005604999,0.00008638089,0.00004987189,0.00003598391,0.00002497089,0.000007899634,0.9914054,0.000003445774,0.007317616,0.000373],"study_design_scores_gemma":[0.0006431399,0.0002250391,0.0003339913,0.0001285643,0.00002633893,0.0001524812,0.0001996025,0.000009613529,0.9931637,0.00003289054,0.004997643,0.00008701807],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965939,0.001166992,0.0003243093,0.000362768,0.0001747641,0.00003439806,0.000007262993,0.000004987284,0.001330633],"genre_scores_gemma":[0.9965991,0.0004675491,0.000111332,0.0001073295,0.0006768586,0.000001526809,0.00003159078,0.00001358726,0.001991142],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002319973,"threshold_uncertainty_score":0.3623698,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009995483646855586,"score_gpt":0.2408071722263087,"score_spread":0.2308116885794531,"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."}}