{"id":"W2921760674","doi":"10.1101/577221","title":"<i>In silico</i> identification of novel peptides with antibacterial activity against multidrug resistant <i>Staphylococcus aureus</i>","year":2019,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Antimicrobial Peptides and Activities","field":"Immunology and Microbiology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Biotechnology and Biological Sciences Research Council; St. George's, University of London; Research Councils UK; Life Sciences Research Network Wales; Institute of Infection and Immunity; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"In silico; Staphylococcus aureus; Bacteria; Biology; Antimicrobial peptides; Multiple drug resistance; In vivo; Microbiology; Antimicrobial; In vitro; Computational biology; Biochemistry; Drug resistance; 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":[0.0006681628,0.0005732007,0.0006988571,0.0003902992,0.0001608811,0.001003651,0.0004014976,0.0004977334,0.001683944],"category_scores_gemma":[0.0009713147,0.0001608902,0.0008663091,0.0002684127,0.0001460999,0.0003260383,0.0003135889,0.0004291545,0.0006818651],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003220826,"about_ca_system_score_gemma":0.0004713612,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008672118,"about_ca_topic_score_gemma":0.001328135,"domain_scores_codex":[0.9996821,0.00009164546,0.0000178199,0.00008198383,0.00008489856,0.00004158346],"domain_scores_gemma":[0.9996655,0.000134778,0.00007748055,0.00002538817,0.00006503965,0.00003185678],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001067886,0.0003217328,0.02554028,0.0006251374,0.0002758016,0.0003417406,0.00006457041,0.0738183,0.8443124,0.0003667399,0.001836218,0.05142929],"study_design_scores_gemma":[0.0001099829,0.002240783,0.02758285,0.00007622841,0.0002954491,0.0005800031,0.0001519802,0.5937672,0.3642279,0.0007771332,0.0101133,0.00007717059],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9470555,0.001200436,0.04586905,0.0004416106,0.00006274505,0.0001000025,0.00277957,0.0006667456,0.001824417],"genre_scores_gemma":[0.9320799,0.0005630705,0.05885388,0.0002280887,0.00003285142,0.00009846583,0.006844397,0.00008773163,0.001211596],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001683944,"threshold_uncertainty_score":0.005633354,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009851911097711956,"score_gpt":0.2084442117639761,"score_spread":0.1985923006662641,"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."}}