{"id":"W2989867137","doi":"10.1021/acschembio.9b00654","title":"Optimization of Ligands Using Focused DNA-Encoded Libraries To Develop a Selective, Cell-Permeable CBX8 Chromodomain Inhibitor","year":2019,"lang":"en","type":"article","venue":"ACS Chemical Biology","topic":"Epigenetics and DNA Methylation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":84,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"Division of Molecular and Cellular Biosciences; National Institute of Neurological Disorders and Stroke; National Institute of General Medical Sciences; National Center for Advancing Translational Sciences; Purdue University; Purdue University Center for Cancer Research; V Foundation for Cancer Research; Canadian Cancer Society Research Institute; Indiana Clinical and Translational Sciences Institute; National Cancer Institute; Prostate Cancer Foundation","keywords":"Chromodomain; Chromatin; Biology; Polycomb-group proteins; Gene; Histone H3; DNA; Lysine; Genetics; Cell biology; Computational biology; Gene expression; Amino acid; Repressor","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":[0.0001458325,0.0001708175,0.0002556412,0.00006534086,0.00003752313,0.00001419218,0.0001811303,0.0003683537,0.00002470267],"category_scores_gemma":[0.000265892,0.0001631735,0.00004931312,0.0003352015,0.00007337397,0.000007686377,0.0001913469,0.00007956602,0.000007692948],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002570219,"about_ca_system_score_gemma":0.0001805004,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001356474,"about_ca_topic_score_gemma":0.00000149121,"domain_scores_codex":[0.9988672,0.00004940643,0.0003175776,0.0004144118,0.00007696147,0.000274492],"domain_scores_gemma":[0.9992089,0.00004118314,0.000128479,0.0002569226,0.0002791878,0.00008536012],"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":[0.0001272543,0.00005302342,0.003435229,0.00002286702,0.00002524722,1.971244e-7,0.00006644604,0.002597369,0.9932764,0.00005485211,0.00008586747,0.0002552025],"study_design_scores_gemma":[0.0006336962,0.0003279251,0.00009096228,0.00001271435,0.00001311953,0.000001166413,0.00001867568,0.001106244,0.9966282,0.0002261653,0.0007328418,0.0002083103],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9848507,0.0003961914,0.01368807,0.00006350689,0.0001149951,0.0002631146,0.00001914669,0.00001333975,0.0005909384],"genre_scores_gemma":[0.970137,0.00005521853,0.02915295,0.0001364065,0.0001282474,0.00001299719,0.0002568227,0.00002575749,0.00009458714],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01546488,"threshold_uncertainty_score":0.6654021,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01069941926602433,"score_gpt":0.2370689868810519,"score_spread":0.2263695676150276,"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."}}