{"id":"W2785436589","doi":"10.1021/ja303579d","title":"New Delhi Metallo-β-Lactamase: Structural Insights into β-Lactam Recognition and Inhibition","year":2012,"lang":"en","type":"article","venue":"Journal of the American Chemical Society","topic":"Antibiotic Resistance in Bacteria","field":"Biochemistry, Genetics and Molecular Biology","cited_by":287,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Canadian Institutes of Health Research; Canada Research Chairs; Howard Hughes Medical Institute","keywords":"Chemistry; Meropenem; Antibiotics; Hydrolase; Lactam; New delhi; Carbapenem; Bacteria; Microbiology; Stereochemistry; Antibiotic resistance; Beta-Lactamase Inhibitors; DNA gyrase; Enzyme; Biochemistry; Escherichia coli; Biology; Genetics; Gene","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":[0.0001877269,0.0006223011,0.0004733399,0.0002710755,0.0001693696,0.0007207395,0.0005931273,0.0006388826,0.001437671],"category_scores_gemma":[0.0001678778,0.0002791849,0.000260204,0.0003119834,0.0006155962,0.001082438,0.0003012892,0.000956488,0.0008273263],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008668371,"about_ca_system_score_gemma":0.0003713109,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001039275,"about_ca_topic_score_gemma":0.001047409,"domain_scores_codex":[0.999911,0.00001565181,0.000004350183,0.00001379009,0.00003722366,0.00001807301],"domain_scores_gemma":[0.9999698,0.00000676133,0.000005648565,0.00000278697,0.000004378373,0.00001059893],"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":[0.0007538774,0.0002965678,0.001764411,0.003204384,0.0001405371,0.002125159,0.0005479216,0.0207946,0.7109386,0.07608525,0.01178553,0.1715632],"study_design_scores_gemma":[0.0004601831,0.001517841,0.01109544,0.0004095605,0.0001781675,0.006625826,0.0009745859,0.04363929,0.3188248,0.08300995,0.5331033,0.0001609461],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.3017946,0.5769678,0.03988177,0.01607686,0.001117686,0.0001009083,0.0008669629,0.0007884391,0.06240495],"genre_scores_gemma":[0.7150643,0.2585743,0.01511103,0.001135849,0.0003954878,0.00004534932,0.0005803548,0.00004016226,0.009053165],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001437671,"threshold_uncertainty_score":0.006289303,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01019256863577759,"score_gpt":0.2472568005083015,"score_spread":0.2370642318725239,"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."}}