{"id":"W4403667508","doi":"10.1002/anie.202414842","title":"Targeted Genome Mining Facilitates the Discovery of a Promiscuous, Hyperthermostable Amidase from <i>Thermovenabulum Gondwanense</i> with Notable Nylon‐Degrading Capacity","year":2024,"lang":"en","type":"article","venue":"Angewandte Chemie International Edition","topic":"biodegradable polymer synthesis and properties","field":"Materials Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada; Genome Canada","keywords":"Nylon 6; Amidase; Degradation (telecommunications); Polyamide; Hydrolysis; Hydrolytic degradation; Chemistry; Materials science; Polymer; Computer science; Biochemistry; Organic chemistry","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":[0.0003198509,0.0004547756,0.0004327639,0.0004605828,0.0002022299,0.0007435806,0.0003035291,0.0005433187,0.0005337564],"category_scores_gemma":[0.0004422385,0.000160591,0.0005373486,0.0008852425,0.0001585257,0.0003219898,0.0004660453,0.0006463379,0.0004898639],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003173212,"about_ca_system_score_gemma":0.000444012,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00134391,"about_ca_topic_score_gemma":0.00229253,"domain_scores_codex":[0.9998457,0.00001846673,0.00001522385,0.00004319271,0.00005096242,0.00002625548],"domain_scores_gemma":[0.9998478,0.00004035406,0.00004823594,0.00001811073,0.00002946302,0.00001601545],"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":[0.000052835,0.00002885981,0.0008344299,0.00009417134,0.00001142617,0.0001399005,0.00003976779,0.0001495809,0.9914268,0.00007732675,0.00008487176,0.007059948],"study_design_scores_gemma":[0.00002600725,0.0003124803,0.02134095,0.00005023074,0.0001095524,0.001355277,0.0002287537,0.003940459,0.9580744,0.0002769862,0.01425672,0.00002828488],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.961796,0.002119474,0.02717932,0.0005478833,0.00004513284,0.0001669574,0.005316371,0.0003299887,0.002498858],"genre_scores_gemma":[0.9196345,0.003641159,0.05663361,0.0002337113,0.00002445206,0.0001528494,0.01589939,0.0001441424,0.003636135],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00134391,"threshold_uncertainty_score":0.002672195,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0181644602257989,"score_gpt":0.2067846758555143,"score_spread":0.1886202156297154,"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."}}