{"id":"W2122320166","doi":"10.1093/protein/gzp084","title":"Directed evolution of copper nitrite reductase to a chromogenic reductant","year":2010,"lang":"en","type":"article","venue":"Protein Engineering Design and Selection","topic":"Enzyme Catalysis and Immobilization","field":"Biochemistry, Genetics and Molecular Biology","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Basic Energy Sciences; National Center for Research Resources; National Institute of General Medical Sciences; Biological and Environmental Research; Natural Sciences and Engineering Research Council of Canada; National Institutes of Health; U.S. Department of Energy","keywords":"Chromogenic; Chemistry; Alcaligenes faecalis; Substrate (aquarium); Nitrite; Electron acceptor; Nitrite reductase; Combinatorial chemistry; Nitrate reductase; Directed evolution; Biochemistry; Enzyme; Chromatography; Bacteria; Organic chemistry; Biology; Nitrate","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":[0.0005278498,0.0009481388,0.0006343237,0.0004372873,0.0001851355,0.000373641,0.0008071778,0.0003682676,0.0004504903],"category_scores_gemma":[0.0004356707,0.0002885011,0.000394721,0.0005485535,0.0002791045,0.0001621436,0.0005788502,0.0007241357,0.0003818973],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006188729,"about_ca_system_score_gemma":0.000387372,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001464662,"about_ca_topic_score_gemma":0.001903693,"domain_scores_codex":[0.999465,0.0001225645,0.00004081528,0.0001056014,0.0002035141,0.00006238645],"domain_scores_gemma":[0.9997833,0.00003065752,0.00006059199,0.00002754193,0.0000538011,0.00004419198],"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":[0.00005316719,0.00005382285,0.0002085422,0.00005771844,0.00001270612,0.00005607312,0.00001805844,0.0002016863,0.9957619,0.0001090509,0.0000631879,0.003404093],"study_design_scores_gemma":[0.00002184917,0.0002360044,0.001185676,0.000007977987,0.00003118258,0.0003158897,0.0000190853,0.003102942,0.9894961,0.00004006092,0.005531691,0.00001167646],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8807392,0.001962704,0.1103112,0.0002026761,0.0001559468,0.0006298216,0.0008018481,0.001185361,0.004011369],"genre_scores_gemma":[0.8700902,0.002396898,0.1110302,0.0001659946,0.00002543549,0.0004496934,0.002937137,0.0002677866,0.01263662],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001464662,"threshold_uncertainty_score":0.004490256,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004411637316303049,"score_gpt":0.1967959148740751,"score_spread":0.1923842775577721,"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."}}