{"id":"W2188951695","doi":"10.1016/j.ejmech.2015.11.032","title":"Identification of novel cyclic lipopeptides from a positional scanning combinatorial library with enhanced antibacterial and antibiofilm activities","year":2015,"lang":"en","type":"article","venue":"European Journal of Medicinal Chemistry","topic":"Antimicrobial Peptides and Activities","field":"Immunology and Microbiology","cited_by":61,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"Congressionally Directed Medical Research Programs; National Institute of Allergy and Infectious Diseases; Canadian Institutes of Health Research; “la Caixa” Foundation; Fundación Ramón Areces; U.S. Department of Defense","keywords":"Lipopeptide; Biofilm; Chemistry; Cyclic peptide; Antibacterial activity; Bacteria; In vivo; Potency; Antibiotics; In vitro; Microbiology; Amino acid; Combinatorial chemistry; Structure–activity relationship; Biochemistry; Peptide; Biology; Biotechnology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003409605,0.0001496838,0.0003299525,0.00004812894,0.00006675932,0.00003395078,0.0001802944,0.00005834055,0.00008971211],"category_scores_gemma":[0.00006488053,0.0001181094,0.00005447113,0.00005795665,0.0004601402,0.0003680193,0.0000649424,0.0002970486,0.000002616841],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001432839,"about_ca_system_score_gemma":0.0001298158,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009004777,"about_ca_topic_score_gemma":1.337894e-7,"domain_scores_codex":[0.9990287,0.0001112281,0.0004714934,0.0001462672,0.0001000671,0.0001422259],"domain_scores_gemma":[0.9989531,0.00008610332,0.0007006804,0.0001028874,0.00009936935,0.00005783199],"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":[0.001497373,0.0001307181,0.0005072606,0.00003721014,0.0001631986,0.00002871702,0.0006697545,0.00000532219,0.9954153,0.00001803117,0.0008351591,0.0006919508],"study_design_scores_gemma":[0.00381538,0.0003815231,0.004685487,0.0005349857,0.00008906151,0.0004504935,0.001716402,0.000001410254,0.9878333,0.00002431898,0.0003387132,0.0001289669],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968883,0.0005708864,0.000506652,0.0001271077,0.0005231671,0.00003746439,0.0000890087,0.00001336864,0.001243993],"genre_scores_gemma":[0.9986554,0.00005529477,0.0003562215,0.00003426164,0.000585823,1.703102e-7,0.00005723214,0.00002148429,0.000234159],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007582047,"threshold_uncertainty_score":0.4816361,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01060763100629772,"score_gpt":0.2098805923488102,"score_spread":0.1992729613425125,"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."}}