{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003656487,0.0005942389,0.000533818,0.000960158,0.0002245031,0.0005433796,0.0003680729,0.0004524142,0.001447088],"category_scores_gemma":[0.0003912609,0.0002318681,0.0004105066,0.0006568731,0.0002129946,0.0002873002,0.0002842354,0.0004368523,0.0004415155],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003942542,"about_ca_system_score_gemma":0.0003902015,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005592174,"about_ca_topic_score_gemma":0.002080406,"domain_scores_codex":[0.9996831,0.00005828942,0.00002343129,0.00004786934,0.0001464022,0.00004083575],"domain_scores_gemma":[0.9997786,0.00005802918,0.00005168679,0.00002167127,0.00004700704,0.00004304818],"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":[0.0001251919,0.000251342,0.0008076733,0.000201936,0.00003431156,0.0001612016,0.00001595843,0.001047667,0.9871433,0.0002006026,0.0001795255,0.00983118],"study_design_scores_gemma":[0.0001483283,0.004811488,0.01069296,0.00005574366,0.000169294,0.0008895728,0.00008289117,0.002618745,0.9697562,0.0002027377,0.01054486,0.000027197],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9655027,0.01426317,0.00701539,0.0005697532,0.000066156,0.0004238123,0.002410554,0.0003365952,0.009411843],"genre_scores_gemma":[0.9706214,0.01166796,0.01151504,0.0003117377,0.00005255123,0.0001457559,0.002214152,0.00003186789,0.003439544],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001447088,"threshold_uncertainty_score":0.00484097,"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."}}