{"id":"W2172594636","doi":"10.1016/j.bpj.2015.09.021","title":"Vesicle Leakage Reflects the Target Selectivity of Antimicrobial Lipopeptides from Bacillus subtilis","year":2015,"lang":"en","type":"article","venue":"Biophysical Journal","topic":"Antimicrobial Peptides and Activities","field":"Immunology and Microbiology","cited_by":61,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ontario Tobacco Research Unit; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Bayer CropScience; Deutsche Forschungsgemeinschaft","keywords":"Lipopeptide; Bacillus subtilis; Phosphatidylethanolamine; Vesicle; Liposome; Membrane; Antimicrobial; Chemistry; Phosphatidylcholine; Ergosterol; Biophysics; Antimicrobial peptides; Lipid bilayer; Sterol; Biochemistry; Bacteria; Peptide; Biology; Cholesterol; Phospholipid; Organic chemistry","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":[0.0002371679,0.0002373215,0.000252199,0.0001486844,0.0001317079,0.0005096151,0.000150134,0.0004538949,0.0007820823],"category_scores_gemma":[0.0003940522,0.0001442687,0.0001771379,0.0001572196,0.0001886999,0.0004789394,0.0002967907,0.0006090895,0.0003366598],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003227985,"about_ca_system_score_gemma":0.0001127764,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002662968,"about_ca_topic_score_gemma":0.0001491284,"domain_scores_codex":[0.9997831,0.00004013354,0.00001992693,0.00003774791,0.00005659801,0.00006252354],"domain_scores_gemma":[0.9997732,0.00006986853,0.00005584127,0.00001301013,0.0000345839,0.00005341242],"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":[0.0001412486,0.000005467158,0.0002166612,0.0000109933,0.000001893649,0.00001594849,0.000008131999,0.00002476753,0.9992499,0.00004143867,0.00001031424,0.0002731475],"study_design_scores_gemma":[0.000008998402,0.00009572381,0.004594826,0.000003764711,0.00000698224,0.0001896858,0.00003457387,0.001014312,0.9937807,0.00004816294,0.0002184555,0.000003887247],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976497,0.0003208805,0.001490224,0.00003989717,0.000006112766,0.000004378061,0.0001221016,0.00001633776,0.0003503878],"genre_scores_gemma":[0.9984282,0.0001604927,0.0005145315,0.00004308362,0.000003701351,0.000006597315,0.0003580415,0.00001381503,0.0004715669],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007820823,"threshold_uncertainty_score":0.002616286,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02348868839578169,"score_gpt":0.2434152788066072,"score_spread":0.2199265904108255,"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."}}