{"id":"W4295359104","doi":"10.1021/acsinfecdis.2c00357","title":"Genetic and Chemical Screening Reveals Targets and Compounds to Potentiate Gram-Positive Antibiotics against Gram-Negative Bacteria","year":2022,"lang":"en","type":"article","venue":"ACS Infectious Diseases","topic":"Antibiotic Resistance in Bacteria","field":"Biochemistry, Genetics and Molecular Biology","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Canadian Glycomics Network; Canadian Institutes of Health Research; Canada Research Chairs; Ontario Research Foundation; McMaster University","keywords":"Linezolid; Antibiotics; Novobiocin; Efflux; Bacteria; Microbiology; Rifampicin; Lipid II; Gram-negative bacteria; Vancomycin; Gram-positive bacteria; Biology; Antibiotic resistance; Lipid A; Biochemistry; Staphylococcus aureus; Escherichia coli; Peptidoglycan; Gene; Genetics","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":[0.00009172153,0.0002695312,0.0002706651,0.00007095902,0.0004027046,0.0001156416,0.0001537638,0.00008288305,0.00001375891],"category_scores_gemma":[0.000171737,0.0002944367,0.00008316241,0.000148909,0.0002213316,0.00001099509,0.0007837051,0.0001294346,0.000002158399],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003935433,"about_ca_system_score_gemma":0.0000416098,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002834998,"about_ca_topic_score_gemma":0.00001163731,"domain_scores_codex":[0.9984584,0.0001530243,0.0002583706,0.0005974292,0.0001749414,0.0003578198],"domain_scores_gemma":[0.9991946,0.00004761271,0.0001296856,0.0002905081,0.00009098432,0.0002466458],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0002240553,0.0001715277,0.2960938,0.00004686838,0.0002334329,0.00003832938,0.00009973591,0.00006308385,0.6997632,0.00005083648,0.001091938,0.002123147],"study_design_scores_gemma":[0.001353586,0.0007520712,0.9278403,0.00007262154,0.0002108523,0.0001439377,0.0003018877,0.00005309453,0.066563,0.0007523868,0.001138219,0.0008180525],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972475,0.0007965422,0.0007308953,0.00007814825,0.0001707796,0.000391833,0.0003420871,0.00004120622,0.0002010126],"genre_scores_gemma":[0.9969884,0.0002922848,0.00146429,0.0007085547,0.0001503664,0.000008991764,0.0002748545,0.00004579184,0.000066448],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6332002,"threshold_uncertainty_score":0.9999508,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005525368016536593,"score_gpt":0.22967228945207,"score_spread":0.2241469214355334,"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."}}