{"id":"W4376224614","doi":"10.1093/database/baad030","title":"PYK-SubstitutionOME: an integrated database containing allosteric coupling, ligand affinity and mutational, structural, pathological, bioinformatic and computational information about pyruvate kinase isozymes","year":2023,"lang":"en","type":"article","venue":"Database","topic":"Protein Structure and Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Basic Energy Sciences; National Center for Research Resources; National Institute of General Medical Sciences; National Institute on Aging; Natural Sciences and Engineering Research Council of Canada; Office of Science; National Institutes of Health; W. M. Keck Foundation; U.S. Department of Energy","keywords":"Allosteric regulation; Computational biology; Function (biology); Computer science; Genome; Database; Biology; Bioinformatics; Biochemistry; Genetics; Gene; Enzyme","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0008466532,0.002328774,0.002021278,0.002993296,0.0005831701,0.001447896,0.002965498,0.001919537,0.02183641],"category_scores_gemma":[0.004010815,0.0008489948,0.001079134,0.004961367,0.0004430792,0.0026113,0.002599235,0.001939979,0.01876297],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001337235,"about_ca_system_score_gemma":0.002218693,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003551031,"about_ca_topic_score_gemma":0.004775671,"domain_scores_codex":[0.9993623,0.00007327041,0.0001069748,0.0001998054,0.0001853696,0.0000722985],"domain_scores_gemma":[0.998703,0.0003030803,0.0002529038,0.0003421965,0.0001768194,0.0002220608],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.004246791,0.0003915775,0.01823855,0.01366609,0.000673469,0.001363636,0.0002461483,0.01261114,0.03470879,0.01114134,0.8197581,0.08295429],"study_design_scores_gemma":[0.001218954,0.0003610614,0.02794595,0.0005614177,0.0003806519,0.002291869,0.0001714395,0.02499426,0.02680786,0.0127726,0.9022242,0.0002697252],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.01080403,0.001524304,0.007531543,0.0002106819,0.0000757685,0.00008589962,0.9555302,0.02098165,0.003256005],"genre_scores_gemma":[0.01779849,0.0009380275,0.00801437,0.0001025721,0.00001342026,0.0001664954,0.971085,0.001174817,0.0007067892],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02183641,"threshold_uncertainty_score":0.07305002,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01526426340775464,"score_gpt":0.2664963883285539,"score_spread":0.2512321249207992,"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."}}