{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001659788,0.00008837293,0.00008533952,0.00008763831,0.00003527071,0.00001048503,0.00003928394,0.00009131836,0.000005361081],"category_scores_gemma":[0.0001710468,0.00008996417,0.000026773,0.0002348016,0.00001328577,0.000005789124,0.00001478697,0.00007206773,0.000001181179],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000140984,"about_ca_system_score_gemma":0.00003313377,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001462071,"about_ca_topic_score_gemma":0.00000379881,"domain_scores_codex":[0.9994847,0.00002087795,0.0001304564,0.0001927834,0.00006113337,0.0001100094],"domain_scores_gemma":[0.9997147,0.000003515301,0.0000347479,0.00009302212,0.0001006076,0.00005345192],"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":[0.00004670791,0.00002469458,0.00004114491,0.00001873717,0.00001697341,9.830442e-8,0.00001797867,0.001605392,0.9976411,0.00006918939,0.0001409022,0.0003771012],"study_design_scores_gemma":[0.0001582312,0.0001965581,0.0005508517,0.00001436524,0.00001254677,0.00001549749,0.000003712934,0.008522611,0.9894186,0.0000110865,0.0009887713,0.0001071521],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.861824,0.0002803172,0.1374336,0.0000197463,0.0000576297,0.000344296,0.00000214501,0.00003011919,0.000008116219],"genre_scores_gemma":[0.9850625,0.00001631693,0.01459792,0.000004248342,0.0001004508,0.00007016648,0.0000241107,0.00001526865,0.0001090012],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1232385,"threshold_uncertainty_score":0.3668632,"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."}}