{"id":"W2968454458","doi":"10.1038/s41429-019-0221-9","title":"Development of a nebramine-cyclam conjugate as an antibacterial adjuvant to potentiate β-lactam antibiotics against multidrug-resistant P. aeruginosa","year":2019,"lang":"en","type":"article","venue":"The Journal of Antibiotics","topic":"Antibiotic Resistance in Bacteria","field":"Biochemistry, Genetics and Molecular Biology","cited_by":22,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Pseudomonas aeruginosa; Efflux; Aztreonam; Antibiotics; Microbiology; Bacterial outer membrane; Multiple drug resistance; Chemistry; Cyclam; Porin; Ceftazidime; Biology; Pharmacology; Antibiotic resistance; Bacteria; Biochemistry; Escherichia coli; Gene; Imipenem","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001204015,0.0004585521,0.0007612236,0.0001817327,0.0001559583,0.00008657066,0.001059697,0.0002709978,0.00003288576],"category_scores_gemma":[0.0001886824,0.0003383529,0.0002338217,0.0002533359,0.0002321959,0.00003824546,0.0003284812,0.000303804,0.00005503369],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000541675,"about_ca_system_score_gemma":0.0005425906,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001381038,"about_ca_topic_score_gemma":0.00004391198,"domain_scores_codex":[0.9966711,0.0002419825,0.001476156,0.0003865729,0.0006231841,0.0006010085],"domain_scores_gemma":[0.9968784,0.00005131933,0.001241582,0.0009228931,0.0005994188,0.0003064221],"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":[0.002052167,0.0003289327,0.006578454,0.0001137408,0.0002762422,0.00002462971,0.0005723716,0.0002970891,0.9884989,0.00006286464,0.0001895106,0.001005151],"study_design_scores_gemma":[0.001557075,0.001312517,0.05760368,0.0003624122,0.0001345593,0.00007961741,0.001068401,0.0001384977,0.9326801,0.00001410584,0.004578706,0.0004703829],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966933,0.0001343228,0.001005954,0.0001204553,0.001201905,0.0004797572,0.0000472795,0.00001244666,0.0003046372],"genre_scores_gemma":[0.9818209,0.0004529895,0.01655958,0.0002910283,0.0003654365,1.129063e-8,0.00005903381,0.00007882632,0.0003722228],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0558188,"threshold_uncertainty_score":0.9999068,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007975062453425906,"score_gpt":0.2507528963052715,"score_spread":0.2427778338518456,"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."}}