{"id":"W2810408973","doi":"10.1021/jacs.8b05807","title":"3-Fluoro-4-hydroxyprolines: Synthesis, Conformational Analysis, and Stereoselective Recognition by the VHL E3 Ubiquitin Ligase for Targeted Protein Degradation","year":2018,"lang":"en","type":"article","venue":"Journal of the American Chemical Society","topic":"Protein Degradation and Inhibitors","field":"Biochemistry, Genetics and Molecular Biology","cited_by":146,"is_retracted":false,"has_abstract":true,"ca_institutions":"Discovery Centre","funders":"H2020 Marie Skłodowska-Curie Actions; Biotechnology and Biological Sciences Research Council; Diamond Light Source; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; FP7 Ideas: European Research Council; Wellcome Trust; Wellcome","keywords":"Chemistry; Stereochemistry; Ubiquitin ligase; Peptidomimetic; Diastereomer; Stereoselectivity; Proline; Hydroxylation; Ubiquitin; Hydrogen bond; Amino acid; Molecule; Biochemistry; Peptide; Enzyme; Organic chemistry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004013669,0.0001148134,0.000184501,0.00001848254,0.000167066,0.00003777313,0.0001991688,0.00006515811,0.000008861932],"category_scores_gemma":[0.0004379985,0.00006817305,0.0003181342,0.0002763529,0.0003966775,0.0000178137,0.00005171083,0.0001328036,6.313089e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003860734,"about_ca_system_score_gemma":0.00008067417,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001455621,"about_ca_topic_score_gemma":0.000002881435,"domain_scores_codex":[0.9991175,0.00008172663,0.0003303414,0.000134929,0.000193192,0.0001423444],"domain_scores_gemma":[0.9986721,0.00006080233,0.0006942947,0.0001316324,0.000382819,0.00005833296],"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":[0.0001522962,0.00003730785,0.0001709861,0.000006501193,0.0003393177,2.092016e-8,0.00006172994,7.688527e-7,0.9818764,0.000003870285,0.01034017,0.007010588],"study_design_scores_gemma":[0.0003000147,0.000179047,0.0003621316,0.00001506789,0.0001802225,0.00001108901,0.000218057,0.0003808223,0.9938006,0.0001368721,0.004317764,0.00009834829],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.991152,0.0001339937,0.006586053,0.001709011,0.00003179138,0.0002833449,0.00007613871,0.000004117208,0.00002351405],"genre_scores_gemma":[0.9948059,0.00005271884,0.003459342,0.001052437,0.0004344278,0.00004300245,0.00007434528,0.000009725013,0.00006805888],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01192412,"threshold_uncertainty_score":0.2780016,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00802880347192571,"score_gpt":0.2438914239027392,"score_spread":0.2358626204308135,"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."}}