{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005347737,0.0001085676,0.0001349599,0.00005482384,0.00009407621,0.00002371815,0.0001052147,0.0000718402,0.00005265863],"category_scores_gemma":[0.0001645382,0.00007606469,0.00009466124,0.00008653986,0.0001918294,0.000005854123,0.00005631931,0.00001313998,0.000001698575],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003211502,"about_ca_system_score_gemma":0.00009173721,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000327844,"about_ca_topic_score_gemma":0.00001047378,"domain_scores_codex":[0.9987114,0.00002586527,0.000343596,0.0005000171,0.0002293005,0.000189797],"domain_scores_gemma":[0.9989037,0.000008221994,0.0002410572,0.0006442991,0.0001309133,0.00007184211],"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":[0.00002897791,0.00001659048,0.002814419,0.00001844387,0.00002014268,0.000002020471,0.00003994138,0.00002264853,0.9903179,0.00008896843,0.002656405,0.003973513],"study_design_scores_gemma":[0.0003440609,0.00004977491,0.002975631,0.00001813315,0.00001898252,0.00002056894,0.00003265483,0.000008289763,0.9680125,0.003850639,0.02453706,0.0001316939],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9917966,0.0004835977,0.004772259,0.00007029335,0.002309809,0.0002621861,0.00002541733,0.000008121991,0.0002717672],"genre_scores_gemma":[0.9945794,0.00001709957,0.0009394495,0.00001800866,0.0001032544,0.00002076267,0.0001160491,0.0000143731,0.004191545],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02230542,"threshold_uncertainty_score":0.3101828,"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."}}