{"id":"W4402925910","doi":"10.1002/anie.202410435","title":"Target‐Templated Construction of Functional Proteomimetics Using Photo‐Foldamer Libraries","year":2024,"lang":"en","type":"article","venue":"Angewandte Chemie International Edition","topic":"Chemical Synthesis and Analysis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"National Research, Development and Innovation Office; Nemzeti Kutatási, Fejlesztési és Innovaciós Alap","keywords":"Foldamer; Ligand (biochemistry); Chemistry; A priori and a posteriori; Allosteric regulation; Combinatorial chemistry; Computer science; Stereochemistry; Biochemistry; Enzyme","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":[0.0002735091,0.0004088343,0.0003507832,0.0003274369,0.0001605726,0.0003634071,0.0003555377,0.000332721,0.001235283],"category_scores_gemma":[0.0002857668,0.0002484609,0.0003344491,0.0002595786,0.0001989366,0.0003312041,0.0003358538,0.0006349443,0.0006577884],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003859994,"about_ca_system_score_gemma":0.0002194475,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001565193,"about_ca_topic_score_gemma":0.0003465361,"domain_scores_codex":[0.9998195,0.00003353161,0.00001391915,0.00004323513,0.00006061273,0.00002924155],"domain_scores_gemma":[0.9998783,0.00002964029,0.00003445335,0.00001760784,0.00001508105,0.00002482502],"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":[0.00005217301,0.00004052909,0.0000575261,0.00005312284,0.000009369354,0.00006439172,0.00001910688,0.0009336059,0.9934617,0.0005515219,0.00007142995,0.004685514],"study_design_scores_gemma":[0.00001868803,0.0003167672,0.0002405528,0.000003358493,0.000009075666,0.0001844152,0.00001023886,0.001765047,0.9941418,0.0001500263,0.003152432,0.000007543505],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8403713,0.001955988,0.1468565,0.0001818974,0.0001127888,0.0004943796,0.000732759,0.001112836,0.00818149],"genre_scores_gemma":[0.9203275,0.001355807,0.0711349,0.000174196,0.00002122905,0.0002886722,0.0008616545,0.0001381362,0.005697919],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001235283,"threshold_uncertainty_score":0.00413239,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01555526726126729,"score_gpt":0.2458842338966775,"score_spread":0.2303289666354102,"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."}}