{"id":"W4408344085","doi":"10.1002/cbic.202500065","title":"Mining Thermophile Genomes for New PETases with Exceptional Thermostabilities Using Sequence Similarity Networks","year":2025,"lang":"en","type":"article","venue":"ChemBioChem","topic":"Enzyme Production and Characterization","field":"Biochemistry, Genetics and Molecular Biology","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada; Genome Canada","keywords":"Thermostability; Enzyme; Hydrolase; Thermophile; Hydrolysis; Biochemistry; Geobacillus stearothermophilus; Protein engineering; Directed evolution; Chemistry; Biology; Computational biology; Gene","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007756171,0.0001314031,0.0001049156,0.00002210826,0.00011613,0.00003232709,0.00009970267,0.00009787478,0.00004580619],"category_scores_gemma":[0.00003272401,0.0001202399,0.00005242319,0.00008057514,0.00008215377,0.000006873709,0.00004275778,0.00004401256,4.563208e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002233184,"about_ca_system_score_gemma":0.0001618665,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004705962,"about_ca_topic_score_gemma":0.000003437656,"domain_scores_codex":[0.9993243,0.00001092927,0.0001289309,0.0003137041,0.00005827016,0.0001638488],"domain_scores_gemma":[0.9995586,0.00001299671,0.00006106409,0.0002175184,0.0001096094,0.00004017858],"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":[0.0001525374,0.00003538665,0.001574917,0.00005147004,0.00006013073,1.873835e-7,0.00007282823,0.0003606122,0.9914569,0.0001449336,0.001865335,0.004224728],"study_design_scores_gemma":[0.000404681,0.00006069568,0.0006459923,0.00003095415,0.00002684954,0.000008443206,0.0002006567,0.0008008743,0.9850971,0.00009194792,0.01245971,0.000172064],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9725354,0.001038966,0.0250745,0.0005239305,0.0001180036,0.0002230614,0.00002108498,0.00002469765,0.0004403476],"genre_scores_gemma":[0.9912509,0.00007035217,0.004107173,0.0005184764,0.0004855023,0.00002685915,0.000476704,0.00001758694,0.003046444],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02096733,"threshold_uncertainty_score":0.4903242,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03265983125080028,"score_gpt":0.2808367291739129,"score_spread":0.2481768979231126,"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."}}