{"id":"W2908613645","doi":"10.1371/journal.pone.0210100","title":"Holistic engineering of Cal-A lipase chain-length selectivity identifies triglyceride binding hot-spot","year":2019,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Enzyme Catalysis and Immobilization","field":"Biochemistry, Genetics and Molecular Biology","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; PROTEO; Centre in Green Chemistry and Catalysis","funders":"Fonds Québécois de la Recherche sur la Nature et les Technologies; Canada Foundation for Innovation; Centre in Green Chemistry and Catalysis; Natural Sciences and Engineering Research Council of Canada; McGill University","keywords":"Tributyrin; Protein engineering; Lipase; Computational biology; Triglyceride; Saturated mutagenesis; Biochemistry; Adipose triglyceride lipase; Gene; Chemistry; Biology; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001463407,0.0001125992,0.0002088774,0.00007369228,0.00002653129,0.00001593533,0.0001032599,0.00008894348,0.00003394526],"category_scores_gemma":[0.0002359314,0.000116547,0.00006533552,0.0001582327,0.0000196954,0.000007565446,0.00005706552,0.00006803389,0.00001990711],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001723558,"about_ca_system_score_gemma":0.00002776766,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001382001,"about_ca_topic_score_gemma":0.000008741062,"domain_scores_codex":[0.9992327,0.00002201588,0.0001835045,0.0002479517,0.0001493581,0.000164467],"domain_scores_gemma":[0.9994663,0.00002101248,0.00008776967,0.000286455,0.00009462951,0.0000438444],"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":[0.00003688811,0.0002413366,0.002887095,0.0001580514,0.0001390416,5.122465e-7,0.00003253419,0.0002146057,0.9961811,0.00003040406,0.00003691304,0.00004147435],"study_design_scores_gemma":[0.0002994873,0.0001311649,0.002420062,0.00006716808,0.00007046634,0.00000102357,0.00002337318,0.001520204,0.9952276,0.000002721641,0.00009992877,0.0001368544],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987903,0.0002772444,0.0005115638,0.00001095639,0.00006016531,0.0001750174,0.00002366057,0.00001543344,0.0001356739],"genre_scores_gemma":[0.9981799,0.0001187664,0.0002019591,0.00001393191,0.0001011047,0.00001496283,0.0001732898,0.00002248777,0.001173613],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001305599,"threshold_uncertainty_score":0.475265,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02198673258844587,"score_gpt":0.2231656781011982,"score_spread":0.2011789455127523,"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."}}