{"id":"W2605852782","doi":"10.1038/srep46463","title":"Determinants of Thermostability in Serine Hydroxymethyltransferase Identified by Principal Component Analysis","year":2017,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Protein Structure and Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ministry of Health of the People's Republic of China; National Natural Science Foundation of China; International Development Research Centre","keywords":"Thermostability; Serine hydroxymethyltransferase; Amino acid; Biology; Principal component analysis; Genetics; Serine; Protein domain; Amino acid residue; Peptide sequence; Biochemistry; Computational biology; Mathematics; Enzyme; Gene; Glycine; Statistics","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":[0.0004555746,0.0002842108,0.0003224119,0.0008004248,0.00013084,0.000404197,0.00009208904,0.0001537252,0.000446145],"category_scores_gemma":[0.001014882,0.0001182622,0.0004390447,0.0007235859,0.0002439263,0.000194123,0.0001839353,0.0003004484,0.0001065953],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001907146,"about_ca_system_score_gemma":0.0002725301,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001035052,"about_ca_topic_score_gemma":0.0007803991,"domain_scores_codex":[0.9998355,0.00005093167,0.00001126322,0.00003445631,0.00003769593,0.00003019879],"domain_scores_gemma":[0.9995732,0.000178337,0.0001118609,0.00002916317,0.00005928043,0.00004818863],"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":[0.0006981465,0.0001184948,0.08878513,0.00008436418,0.0001506175,0.0001592044,0.0001976554,0.006261831,0.8562371,0.0008138573,0.0001378891,0.04635556],"study_design_scores_gemma":[0.00001727308,0.0004612421,0.7338375,0.00001236665,0.0001732415,0.0004401786,0.0001940875,0.1160401,0.1458506,0.001908424,0.001002597,0.00006230159],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9893264,0.0001847887,0.01019596,0.00002452762,0.000002064347,0.000008155062,0.00007322072,0.00003653856,0.0001482115],"genre_scores_gemma":[0.994774,0.0001093326,0.004839761,0.000003727758,0.000002639791,0.000007876415,0.0001471614,0.000009106867,0.0001063289],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001035052,"threshold_uncertainty_score":0.002409339,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008791175288649488,"score_gpt":0.2747809552080586,"score_spread":0.2659897799194091,"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."}}