{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001834731,0.0005040094,0.0003256612,0.0003340422,0.0001567055,0.0003808964,0.000381569,0.0004235127,0.004346169],"category_scores_gemma":[0.0002219342,0.0002283407,0.0001783422,0.0002351201,0.0001412775,0.000246207,0.000302853,0.0006668866,0.001766843],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006327988,"about_ca_system_score_gemma":0.0002294984,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005049868,"about_ca_topic_score_gemma":0.001186984,"domain_scores_codex":[0.9999032,0.00001181573,0.000005725487,0.00002232324,0.0000297348,0.00002719741],"domain_scores_gemma":[0.9999406,0.00001468837,0.000008139757,0.000003502836,0.00001121364,0.00002188465],"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":[0.0002166162,0.000136477,0.0001319356,0.0001898002,0.00001803615,0.0001447188,0.00003238293,0.001359747,0.9748158,0.000890369,0.002049959,0.02001408],"study_design_scores_gemma":[0.000203195,0.001046862,0.0004958602,0.00002377073,0.00002030957,0.0004243483,0.000041428,0.003855162,0.9673653,0.0003292055,0.02617195,0.00002255604],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8299246,0.02004892,0.0905669,0.002629449,0.0003564894,0.00137434,0.006223846,0.002161598,0.0467139],"genre_scores_gemma":[0.9081525,0.01038125,0.05282423,0.001353845,0.00006301473,0.0008025587,0.003478295,0.0001021162,0.02284213],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004346169,"threshold_uncertainty_score":0.01453936,"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."}}