{"id":"W2129001810","doi":"10.2174/092986707782360105","title":"Computer Simulation of Antimicrobial Peptides","year":2007,"lang":"en","type":"review","venue":"Current Medicinal Chemistry","topic":"Antimicrobial Peptides and Activities","field":"Immunology and Microbiology","cited_by":107,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Canadian Institutes of Health Research; Hungarian Scientific Research Fund; Alberta Heritage Foundation for Medical Research","keywords":"Antimicrobial peptides; Antimicrobial; Molecular dynamics; Computational biology; Chemistry; Peptide; Function (biology); Mechanism (biology); Micelle; Lipid bilayer; Nanotechnology; Combinatorial chemistry; Biochemistry; Biology; Membrane; Physics; Materials science; Computational chemistry; Organic chemistry; Cell biology","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":[0.0002684337,0.0005456283,0.0009432525,0.0002875348,0.0005240693,0.0006230619,0.0009294031,0.001176779,0.003844256],"category_scores_gemma":[0.0009107712,0.000302304,0.0005387571,0.0005038259,0.0004868757,0.0007032778,0.0006159343,0.0008160185,0.0008647763],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005783221,"about_ca_system_score_gemma":0.0007851206,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002550454,"about_ca_topic_score_gemma":0.0017861,"domain_scores_codex":[0.9998599,0.00004796304,0.000007447122,0.00001939975,0.00004799548,0.00001727121],"domain_scores_gemma":[0.9997582,0.0001350015,0.00001495924,0.00001913695,0.00005138471,0.00002133546],"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":[0.0001321914,0.00008590493,0.001104025,0.0007891049,0.0001210794,0.0002074063,0.0001033412,0.9186832,0.007094021,0.03393044,0.005590074,0.03215925],"study_design_scores_gemma":[0.000121998,0.00007767887,0.0004918358,0.0001187938,0.00003951996,0.00009894025,0.00005040479,0.922034,0.003376014,0.02223953,0.0513258,0.00002550287],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"review","genre_scores_codex":[0.3850703,0.06870703,0.3344208,0.005805172,0.002032249,0.0005265919,0.004074015,0.002241873,0.1971219],"genre_scores_gemma":[0.7842203,0.0354187,0.1487912,0.001476548,0.0004107655,0.001779732,0.004086119,0.0006151254,0.02320154],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.003844256,"threshold_uncertainty_score":0.01286036,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0613111808518214,"score_gpt":0.352219894283032,"score_spread":0.2909087134312106,"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."}}