{"id":"W2129538373","doi":"10.1093/nar/gkh1007","title":"Substrate specificity and kinetic framework of a DNAzyme with an expanded chemical repertoire: a putative RNaseA mimic that catalyzes RNA hydrolysis independent of a divalent metal cation","year":2004,"lang":"en","type":"article","venue":"Nucleic Acids Research","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":60,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Michael Smith Health Research BC","keywords":"Enzyme kinetics; Phosphodiester bond; Turnover number; Stereochemistry; Product inhibition; Divalent; Deoxyribozyme; Biology; Ionic strength; Substrate (aquarium); Hydrolysis; Hydrolase; Catalysis; Enzyme; Chemistry; Active site; Biochemistry; Non-competitive inhibition; DNA; RNA; Organic chemistry; Aqueous solution","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":[0.0005544123,0.0001857925,0.0003212973,0.0001582673,0.00008445406,0.00002286033,0.000218606,0.0002254825,0.000002740367],"category_scores_gemma":[0.0001613204,0.0001435335,0.00009230841,0.0003698214,0.0007108204,0.00001835356,0.0001477333,0.0002898559,4.318482e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005760121,"about_ca_system_score_gemma":0.00009322896,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002185629,"about_ca_topic_score_gemma":0.00004750448,"domain_scores_codex":[0.9981104,0.0001520471,0.0002875156,0.000494385,0.0006154505,0.0003401809],"domain_scores_gemma":[0.9988449,0.00003857213,0.0001602928,0.0005004852,0.0003094171,0.0001463578],"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":[0.0005414454,0.0003224995,0.002741851,0.00003877547,0.0001475919,0.000007071721,0.0003711848,0.00001752067,0.9939722,0.00008535178,0.000003930061,0.00175058],"study_design_scores_gemma":[0.000450384,0.0008234484,0.00621668,0.00006943391,0.00005525828,0.00002717387,0.0007141838,0.00005643089,0.9906287,0.000785357,0.00001205753,0.0001608697],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974107,0.0003548347,0.001769568,0.00009821307,0.000008037943,0.0002418595,0.00003402122,0.00001574125,0.00006709088],"genre_scores_gemma":[0.9899641,0.0003379785,0.009467937,0.00001193218,0.00004938418,0.00001661646,0.0001058417,0.00002331874,0.00002284759],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007698369,"threshold_uncertainty_score":0.5853125,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02992517026910311,"score_gpt":0.3260576479887421,"score_spread":0.296132477719639,"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."}}