{"id":"W2329080044","doi":"10.1038/srep23748","title":"Structural basis for ligand-dependent dimerization of phenylalanine hydroxylase regulatory domain","year":2016,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Metabolism and Genetic Disorders","field":"Biochemistry, Genetics and Molecular Biology","cited_by":62,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ontario Ministry of Economic Development and Innovation; Ministero dello Sviluppo Economico; Diamond Light Source; Canadian Institutes of Health Research; Genome Canada; Wellcome Trust; GlaxoSmithKline; Pfizer; Eli Lilly and Company","keywords":"Allosteric regulation; Phenylalanine hydroxylase; Chemistry; Phenylalanine; Dimer; Stereochemistry; Enzyme; Hydrolase; Ligand (biochemistry); Tyrosine; Active site; Binding site; Protein structure; Biochemistry; Amino acid; Receptor","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001296986,0.0002471143,0.0002694838,0.0001227753,0.0005571991,0.0003444962,0.0005358324,0.0005036595,0.001777432],"category_scores_gemma":[0.0002869413,0.0001928322,0.0002157039,0.00009466858,0.0003072468,0.0002962027,0.0002609678,0.0006362967,0.0005596491],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003783633,"about_ca_system_score_gemma":0.0003523558,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007083545,"about_ca_topic_score_gemma":0.000735995,"domain_scores_codex":[0.9998968,0.00002457731,0.00000672371,0.00002257448,0.00002677765,0.00002258946],"domain_scores_gemma":[0.9998746,0.00002225195,0.00002720911,0.000009773958,0.0000189206,0.00004719083],"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":[0.0003997466,0.0002697829,0.002675906,0.0001786869,0.00003313195,0.002099163,0.0002429685,0.005391404,0.9751983,0.007567301,0.001136043,0.004807541],"study_design_scores_gemma":[0.0005026084,0.0009664869,0.03314481,0.00009461762,0.0001147508,0.005160528,0.0009247602,0.1614774,0.7655628,0.01253962,0.01938145,0.0001302044],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9836668,0.00134471,0.008993242,0.0005709135,0.00007743423,0.00003747833,0.0001418773,0.0002260053,0.004941691],"genre_scores_gemma":[0.9976195,0.0002105436,0.001390864,0.0001106615,0.000008898104,0.000009146531,0.0001516168,0.00000776973,0.0004910632],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001777432,"threshold_uncertainty_score":0.005946159,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006216928696852728,"score_gpt":0.2248258724217937,"score_spread":0.218608943724941,"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."}}