{"id":"W2046169696","doi":"10.1016/j.jmb.2008.01.088","title":"Molecular Determinants of Substrate Specificity in Plant 5′-Methylthioadenosine Nucleosidases","year":2008,"lang":"en","type":"article","venue":"Journal of Molecular Biology","topic":"Biochemical and Molecular Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":20,"is_retracted":false,"has_abstract":false,"ca_institutions":"Hospital for Sick Children; University of Waterloo; University of Toronto","funders":"National Center for Research Resources; Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Hospital for Sick Children; U.S. Department of Agriculture","keywords":"Active site; Enzyme; Substrate (aquarium); Binding site; Stereochemistry; Chemistry; Biochemistry; Ligand (biochemistry); Escherichia coli; Transition state analog; Biology","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":[0.0004435805,0.0002400695,0.0005359438,0.0002457416,0.00003508733,0.00000669543,0.0005143753,0.0003607189,0.00001960411],"category_scores_gemma":[0.0003161883,0.0002070255,0.0003054805,0.000244385,0.0004039654,0.000006088359,0.0001716155,0.0003491727,0.000003289594],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002238903,"about_ca_system_score_gemma":0.0002160224,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003548833,"about_ca_topic_score_gemma":0.00001451134,"domain_scores_codex":[0.9978529,0.000284879,0.0008340553,0.0003281877,0.000270657,0.0004293785],"domain_scores_gemma":[0.9987327,0.00002842572,0.00043137,0.0003562751,0.000276593,0.0001746182],"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":[0.0004194766,0.0002608391,0.01906726,0.00002989963,0.00007031677,0.001039644,0.00002275632,0.00004141678,0.9781709,0.0001493005,0.0001543398,0.0005738262],"study_design_scores_gemma":[0.001139731,0.001092909,0.008015141,0.00004977863,0.00001803242,0.001018191,0.00002208493,0.00001430181,0.9869743,0.0002700262,0.001178912,0.0002065765],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9934959,0.004111206,0.001758323,0.0001345924,0.0001077286,0.0001435074,0.00003040387,0.000003166144,0.0002152197],"genre_scores_gemma":[0.9973289,0.0009130587,0.001403318,0.000196178,0.000082552,0.000003726044,0.00002497183,0.00002895545,0.00001831395],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01105212,"threshold_uncertainty_score":0.8442254,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02220848785451681,"score_gpt":0.3006063197053638,"score_spread":0.278397831850847,"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."}}