{"id":"W4416398167","doi":"10.1002/1873-3468.70231","title":"Peptide‐based ligand antagonists block a <i>Vibrio cholerae</i> adhesin","year":2025,"lang":"en","type":"article","venue":"FEBS Letters","topic":"Escherichia coli research studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Queen's University; McGill University","funders":"Faculty of Medicine and Health, University of Sydney; Fonds de Recherche du Québec - Santé; Canadian Institutes of Health Research; Universities Space Research Association; McGill University; Faculty of Medicine, McGill University; Natural Sciences and Engineering Research Council of Canada","keywords":"Bacterial adhesin; Vibrio cholerae; Pentapeptide repeat; Biofilm; Ligand (biochemistry); Peptide; Peptide sequence; Cell adhesion","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":[],"consensus_categories":[],"category_scores_codex":[0.0001575413,0.0001933341,0.0001751966,0.00006840716,0.0001670167,0.0000664847,0.0002690504,0.00009144835,0.000005595533],"category_scores_gemma":[0.0001303066,0.0001886143,0.0001195917,0.0002039443,0.0001592897,0.000003424678,0.0001866505,0.0001579469,0.00002149858],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003186583,"about_ca_system_score_gemma":0.0001341022,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003748255,"about_ca_topic_score_gemma":0.00005143209,"domain_scores_codex":[0.9987572,0.00006950897,0.0001750066,0.0004178663,0.0001775463,0.0004028241],"domain_scores_gemma":[0.9993643,0.0000284521,0.00004453193,0.0004247134,0.00006384592,0.00007414156],"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":[0.00008291177,0.00004299014,0.007026102,0.00004085835,0.00008294018,0.00001320851,0.00001788661,0.00005346631,0.8527366,0.00001333537,0.1396786,0.0002111715],"study_design_scores_gemma":[0.001089929,0.0001160038,0.01162167,0.00005588065,0.00002429108,0.000003708263,0.0000246296,0.00009239506,0.5618395,0.000007740205,0.4248537,0.0002705561],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9783085,0.000748317,0.0004158567,0.01642358,0.0001846112,0.0002534721,0.00001588658,0.00003459526,0.003615206],"genre_scores_gemma":[0.9736236,0.00009224899,0.0008709506,0.02263791,0.0002308531,0.0000701239,0.00004242732,0.00002261146,0.002409321],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2908971,"threshold_uncertainty_score":0.7691467,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00836040216560834,"score_gpt":0.2660393061976362,"score_spread":0.2576789040320278,"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."}}