{"id":"W3083872481","doi":"10.1021/acsami.0c09931","title":"Aggregated Amphiphilic Antimicrobial Peptides Embedded in Bacterial Membranes","year":2020,"lang":"en","type":"article","venue":"ACS Applied Materials & Interfaces","topic":"Antimicrobial Peptides and Activities","field":"Immunology and Microbiology","cited_by":60,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"H2020 Marie Skłodowska-Curie Actions; Innovate UK; Science and Technology Facilities Council; Biotechnology and Biological Sciences Research Council; University of Manchester; Diamond Light Source; China Scholarship Council; Syngenta Canada; Unilever; AstraZeneca","keywords":"Membrane; Antimicrobial peptides; Zeta potential; Antimicrobial; Amphiphile; Peptide; Biophysics; Cytotoxicity; Hemolysis; Dynamic light scattering; Materials science; Biochemistry; Chemistry; Nanotechnology; Microbiology; Biology; Nanoparticle; In vitro; Polymer","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001175382,0.000228935,0.0002118979,0.00008660778,0.0001392286,0.0002011301,0.0001760149,0.0002547158,0.0002754359],"category_scores_gemma":[0.0001657719,0.0001384368,0.0001681886,0.0001047363,0.000218017,0.0003096183,0.0002237434,0.0003742547,0.00008209348],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002782349,"about_ca_system_score_gemma":0.000244292,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000679769,"about_ca_topic_score_gemma":0.0006952672,"domain_scores_codex":[0.9999537,0.000008781135,0.000003556267,0.000009087474,0.00001299675,0.00001185509],"domain_scores_gemma":[0.999938,0.0000194175,0.00001313305,0.000006749867,0.000009997409,0.00001267137],"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":[0.0001570024,0.00006532913,0.0009608261,0.00009476738,0.00002705776,0.0001220455,0.0000654737,0.04428254,0.9500313,0.001232155,0.00006639893,0.002895251],"study_design_scores_gemma":[0.00005859881,0.0003931083,0.001714273,0.00001163864,0.0000238355,0.00008484869,0.00007139922,0.4002809,0.5953013,0.0007198327,0.001315181,0.00002509089],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9948123,0.0001313363,0.004510019,0.00002697178,0.000005404149,0.00001064007,0.00004564156,0.000031651,0.0004259722],"genre_scores_gemma":[0.9906778,0.0002259496,0.008756301,0.00001968777,0.000001885576,0.0000242245,0.00008856248,0.00001123662,0.0001943895],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000679769,"threshold_uncertainty_score":0.00201875,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01563886467682221,"score_gpt":0.2194446413755478,"score_spread":0.2038057766987256,"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."}}