{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005451299,0.0007304073,0.0009250503,0.001900763,0.0003419268,0.001253601,0.0004485454,0.0006618867,0.0009398884],"category_scores_gemma":[0.001221163,0.0003330075,0.000981609,0.003828506,0.0002138741,0.0006745045,0.0005795233,0.0007723674,0.0007169935],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005092968,"about_ca_system_score_gemma":0.0005774359,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008769768,"about_ca_topic_score_gemma":0.001892371,"domain_scores_codex":[0.9996451,0.00005585191,0.00004341777,0.0001184706,0.00008565302,0.00005147144],"domain_scores_gemma":[0.9995422,0.0001145211,0.0001654045,0.00004457738,0.00006828751,0.00006497907],"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":[0.000594165,0.0002394678,0.01632452,0.001333463,0.0001928992,0.001085095,0.0005809211,0.003336191,0.9036969,0.0009387316,0.0009256845,0.07075205],"study_design_scores_gemma":[0.0003887504,0.001724302,0.3884212,0.001111329,0.002162271,0.01199855,0.003369519,0.08379035,0.3678978,0.005162786,0.1336179,0.0003552756],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9334967,0.004666824,0.04122883,0.000442319,0.00003952085,0.0003842029,0.01638399,0.0007587156,0.002598957],"genre_scores_gemma":[0.8121599,0.006090777,0.115343,0.0002269558,0.00004206022,0.0003816954,0.06299935,0.0004274566,0.002328727],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001900763,"threshold_uncertainty_score":0.00369519,"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."}}