{"id":"W4285495463","doi":"10.1038/s41522-022-00320-0","title":"In silico identification of two peptides with antibacterial activity against multidrug-resistant Staphylococcus aureus","year":2022,"lang":"en","type":"article","venue":"npj Biofilms and Microbiomes","topic":"Antimicrobial Peptides and Activities","field":"Immunology and Microbiology","cited_by":49,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"St. George's, University of London; Biotechnology and Biological Sciences Research Council; Research Councils UK; Life Sciences Research Network Wales; Fundação de Amparo à Pesquisa do Estado de Minas Gerais; Institute of Infection and Immunity; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"In silico; Staphylococcus aureus; Microbiology; Antimicrobial peptides; Antimicrobial; Biology; Pathogen; Bacterial cell structure; Multiple drug resistance; Human pathogen; Bacteria; In vivo; Biofilm; In vitro; Computational biology; Antibiotics; Biochemistry; Gene","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":[0.0007426437,0.0009353809,0.0009073171,0.0006358475,0.0002445089,0.001023918,0.0003801073,0.0008021233,0.00100683],"category_scores_gemma":[0.001287248,0.0002115882,0.001061337,0.0003821871,0.0001940425,0.0003416337,0.0004117095,0.000448303,0.0003209644],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000406117,"about_ca_system_score_gemma":0.0006695923,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001074201,"about_ca_topic_score_gemma":0.001756356,"domain_scores_codex":[0.9997289,0.00007449459,0.00001544139,0.00008837025,0.00005417752,0.00003859793],"domain_scores_gemma":[0.9995688,0.0002687181,0.00005704007,0.00001740502,0.00004673112,0.00004135097],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.005353228,0.0009578342,0.1105227,0.003000465,0.001374332,0.001596347,0.0002167807,0.4076431,0.3649424,0.001015674,0.003748065,0.09962903],"study_design_scores_gemma":[0.0003047138,0.002446717,0.02278201,0.0000902019,0.0005654306,0.0007101963,0.0002177151,0.9100862,0.05470578,0.001398258,0.00663004,0.00006271325],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9700528,0.002367595,0.0207325,0.0002722609,0.00005431599,0.0001059868,0.004414255,0.0006291474,0.00137119],"genre_scores_gemma":[0.9461717,0.0008312231,0.04062182,0.0002013683,0.00001984651,0.0001241602,0.01129709,0.00006715723,0.0006655837],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001074201,"threshold_uncertainty_score":0.003927529,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007180625437411194,"score_gpt":0.2250825338184737,"score_spread":0.2179019083810625,"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."}}