{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009008303,0.0002963185,0.0002592561,0.00006944458,0.0001167506,0.0002037129,0.0002307792,0.0002329925,0.0008364912],"category_scores_gemma":[0.00008882984,0.00009161264,0.0001417802,0.00004776375,0.0001434798,0.0001575013,0.0001382894,0.000420725,0.0003869206],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002594386,"about_ca_system_score_gemma":0.0002566279,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006152619,"about_ca_topic_score_gemma":0.001065435,"domain_scores_codex":[0.9999213,0.00001628553,0.000005638017,0.00001156126,0.00001982575,0.00002546563],"domain_scores_gemma":[0.9999708,0.000005308634,0.000007972244,0.000002041668,0.000005630096,0.000008308199],"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":[0.00009469861,0.00003920508,0.00007999682,0.00004289874,0.000004020826,0.00002953087,0.000005484434,0.0001628497,0.9967718,0.0001318555,0.00009790306,0.002539758],"study_design_scores_gemma":[0.00006196024,0.001844053,0.001539908,0.00001372486,0.00002316398,0.0002607069,0.00003174576,0.001393377,0.9876078,0.00009710164,0.007118065,0.000008477287],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9815391,0.007416022,0.005014441,0.0004042869,0.00008802309,0.000113519,0.0002040541,0.00009978615,0.005120887],"genre_scores_gemma":[0.9882535,0.00373385,0.004142995,0.0003948695,0.00002373362,0.00004247794,0.0002712744,0.00001631082,0.003121028],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008364912,"threshold_uncertainty_score":0.002798319,"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."}}