{"id":"W1971204479","doi":"10.1007/s12602-014-9177-z","title":"Membrane Interactions of Synthetic Peptides with Antimicrobial Potential: Effect of Electrostatic Interactions and Amphiphilicity","year":2014,"lang":"en","type":"article","venue":"Probiotics and Antimicrobial Proteins","topic":"Antimicrobial Peptides and Activities","field":"Immunology and Microbiology","cited_by":30,"is_retracted":false,"has_abstract":false,"ca_institutions":"Regroupement Québécois sur les Matériaux de Pointe; Université Laval; PROTEO","funders":"Fonds de Recherche du Québec - Santé; Natural Sciences and Engineering Research Council of Canada; Centre québécois sur les matériaux fonctionnels","keywords":"Chemistry; Cationic polymerization; Antimicrobial peptides; Peptide; Vesicle; Protein secondary structure; Calcein; Membrane; Biophysics; Stereochemistry; Combinatorial chemistry; Biochemistry; Organic chemistry; 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":[0.0002521853,0.0002422645,0.0001810093,0.00009279238,0.0001747073,0.0003012872,0.0001354439,0.0002850025,0.00107425],"category_scores_gemma":[0.0004827123,0.0001076086,0.0001378522,0.0001117285,0.0001763677,0.0004354304,0.0002632682,0.0003796282,0.0001400027],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001288057,"about_ca_system_score_gemma":0.000112162,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001400858,"about_ca_topic_score_gemma":0.0001297476,"domain_scores_codex":[0.9998444,0.00005208731,0.000008017475,0.00001801456,0.00002852958,0.00004900421],"domain_scores_gemma":[0.999772,0.00009954582,0.0000422722,0.000009752845,0.00002869969,0.00004765605],"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":[0.0003217841,0.00002800473,0.0001178069,0.00005060349,0.000007844162,0.00004253933,0.0000202689,0.0001272456,0.9979109,0.0001593241,0.00002288364,0.00119078],"study_design_scores_gemma":[0.00002908311,0.0003725828,0.001109938,0.000009497943,0.00001559196,0.0001017136,0.00004840448,0.001237624,0.995914,0.00008267273,0.001071083,0.000007693753],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978403,0.0008229308,0.0006933693,0.00003677537,0.00001496695,0.000007433525,0.00002028802,0.000004874016,0.0005589483],"genre_scores_gemma":[0.9986973,0.0003527534,0.0005471295,0.0000319338,0.000007957825,0.000008157952,0.00003683871,0.000004708043,0.0003131828],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00107425,"threshold_uncertainty_score":0.003593743,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004170492805990276,"score_gpt":0.2067715472255112,"score_spread":0.2026010544195209,"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."}}