{"id":"W4323036330","doi":"10.1101/2023.03.01.530582","title":"Repurposing host-guest chemistry to sequester virulence and eradicate biofilms in multidrug resistant <i>Pseudomonas aeruginosa</i> and <i>Acinetobacter baumannii</i>","year":2023,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Antibiotic Resistance in Bacteria","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"Natural Sciences and Engineering Research Council of Canada; Business Finland; Academy of Finland; Compute Canada; Biocenter Finland; Helsingin Yliopisto","keywords":"Acinetobacter baumannii; Biofilm; Pseudomonas aeruginosa; Microbiology; Virulence; Antibiotic resistance; Quorum sensing; Antibiotics; Biology; Acinetobacter; Multiple drug resistance; Bacteria; Virulence factor; Chemistry; Biochemistry","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":[0.0000488968,0.0001597348,0.0001309651,0.000100956,0.00006933236,0.0001330532,0.0001307915,0.0001488318,0.001665301],"category_scores_gemma":[0.00006121644,0.0000683484,0.00009304172,0.00005226483,0.00008196488,0.0001184911,0.0001624115,0.0001926075,0.0002812452],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009369951,"about_ca_system_score_gemma":0.00009851535,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002594139,"about_ca_topic_score_gemma":0.0006066776,"domain_scores_codex":[0.9999564,0.000006244108,0.000002196579,0.000007522629,0.00001541791,0.00001233048],"domain_scores_gemma":[0.9999744,0.000003254182,0.000006424781,0.000002565359,0.000005486055,0.000007896573],"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":[0.00005109596,0.00002466695,0.00006563724,0.00004123349,0.000003208177,0.00002537,0.000005303148,0.0001115172,0.9970341,0.0001090317,0.0001114072,0.002417495],"study_design_scores_gemma":[0.00001617581,0.0008693255,0.001228876,0.000007897066,0.000006971019,0.000114753,0.00002106208,0.001421423,0.9914996,0.00004721451,0.004759458,0.000007186193],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9883714,0.002409062,0.002901453,0.0001330958,0.00005902532,0.00005000259,0.0002434571,0.000206982,0.005625456],"genre_scores_gemma":[0.9938439,0.0007207167,0.00264612,0.000131691,0.000009118982,0.00002175399,0.0001512907,0.0000222901,0.002453051],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001665301,"threshold_uncertainty_score":0.005570948,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01224242399109741,"score_gpt":0.2266675947689194,"score_spread":0.214425170777822,"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."}}