{"id":"W2031365072","doi":"10.1074/jbc.m001002200","title":"Utilization of Oriented Peptide Libraries to Identify Substrate Motifs Selected by ATM","year":2000,"lang":"en","type":"article","venue":"Journal of Biological Chemistry","topic":"RNA and protein synthesis mechanisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":192,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"National Institute of General Medical Sciences; National Institutes of Health","keywords":"Peptide; Substrate (aquarium); Motif (music); Chemistry; Computer science; Computational biology; Combinatorial chemistry; Biology; Biochemistry; Art","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0004428221,0.000878918,0.0006476945,0.0007013261,0.000239439,0.0006293635,0.0003370773,0.0003456772,0.001364025],"category_scores_gemma":[0.0005632701,0.0002998715,0.0003887663,0.0006760983,0.0001804584,0.0003958079,0.0003620186,0.0007247681,0.0008872818],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001995213,"about_ca_system_score_gemma":0.0002033269,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001096168,"about_ca_topic_score_gemma":0.0002841883,"domain_scores_codex":[0.9996808,0.00007055963,0.00002825802,0.00007148198,0.00007686997,0.00007213715],"domain_scores_gemma":[0.9996544,0.0001286233,0.00006609403,0.00002993211,0.00005655393,0.00006427975],"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":[0.000214627,0.00006057986,0.0001931152,0.00004410856,0.00001195717,0.00009329844,0.00001507393,0.0002726098,0.9958258,0.00006471709,0.00002387981,0.003180195],"study_design_scores_gemma":[0.00004097633,0.000813167,0.001178262,0.000008925885,0.00005003667,0.0005507129,0.00002716019,0.001470606,0.9942312,0.0001078127,0.001508341,0.00001281675],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9597456,0.001870755,0.0351291,0.00008843529,0.00005147554,0.000273067,0.0009236549,0.0001805062,0.001737321],"genre_scores_gemma":[0.9079197,0.003533558,0.07647684,0.0002738374,0.00006558774,0.0003772403,0.007687306,0.0002031469,0.003462775],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001364025,"threshold_uncertainty_score":0.004563093,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02042715978181614,"score_gpt":0.2625850057111317,"score_spread":0.2421578459293156,"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."}}