{"id":"W3128384845","doi":"10.1016/j.ejmech.2021.113257","title":"Faropenem reacts with serine and metallo-β-lactamases to give multiple products","year":2021,"lang":"en","type":"article","venue":"European Journal of Medicinal Chemistry","topic":"Antibiotic Resistance in Bacteria","field":"Biochemistry, Genetics and Molecular Biology","cited_by":25,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"National Institute of Allergy and Infectious Diseases; Biotechnology and Biological Sciences Research Council; Engineering and Physical Sciences Research Council; Cancer Research UK; National Institutes of Health; Medical Research Council; Diamond Light Source; Wellcome Trust","keywords":"Chemistry; Imine; Stereochemistry; Ring (chemistry); Carbapenem; Serine hydrolase; Tetrahydrofuran; Beta-Lactamase Inhibitors; Enamine; Hydrolysis; Bicyclic molecule; Substrate (aquarium); Serine; Antibiotics; Catalysis; Enzyme; Organic chemistry; Biochemistry","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0003959375,0.0007765679,0.0003344934,0.0003430457,0.0001632062,0.0002154741,0.0003001644,0.0006342959,0.00144601],"category_scores_gemma":[0.0003384802,0.0002312376,0.0003930157,0.0001997565,0.0002795716,0.0006387904,0.0004040111,0.0006228099,0.0005521299],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002912332,"about_ca_system_score_gemma":0.0001863929,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001416459,"about_ca_topic_score_gemma":0.000296144,"domain_scores_codex":[0.9997265,0.00004823602,0.00001689398,0.0000643462,0.00004362044,0.0001004363],"domain_scores_gemma":[0.9998081,0.00004483682,0.00005894205,0.00002041117,0.00002016379,0.00004746255],"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":[0.0005507179,0.00009249203,0.0006082517,0.0002120474,0.00004298925,0.001240228,0.0001089147,0.0002493392,0.97714,0.0006117051,0.0001851487,0.01895823],"study_design_scores_gemma":[0.0000371169,0.001126639,0.001360589,0.0000139551,0.00002061594,0.001445956,0.000026646,0.0001232176,0.9901648,0.0001627222,0.005506862,0.00001092697],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9633613,0.01208221,0.01351797,0.0002810339,0.000255916,0.000153195,0.0001917514,0.0001452679,0.01001141],"genre_scores_gemma":[0.9885506,0.001953738,0.00538119,0.00009186367,0.00002536024,0.00003271825,0.0001323672,0.00001953895,0.00381259],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00144601,"threshold_uncertainty_score":0.004837394,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008661495145868238,"score_gpt":0.2141788684820793,"score_spread":0.2055173733362111,"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."}}