{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003162853,0.0003939401,0.0008195755,0.0002501444,0.0002977991,0.00005221894,0.0001665867,0.0001485323,0.00004896867],"category_scores_gemma":[0.00008836747,0.000310539,0.0001418542,0.0001837306,0.001094931,0.0002365221,0.000155323,0.0004267129,0.000008211965],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001887402,"about_ca_system_score_gemma":0.00004621478,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003240325,"about_ca_topic_score_gemma":0.0001401256,"domain_scores_codex":[0.9982315,0.0002669567,0.000555395,0.0004656297,0.0000507459,0.0004297335],"domain_scores_gemma":[0.9988136,0.0002536459,0.0004570218,0.000284305,0.0001445947,0.00004682208],"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":[0.0007222341,0.0002493946,0.0009213523,0.0009714083,0.000256076,0.000001705108,0.0002568064,0.00006031406,0.9943514,0.0005225725,0.0001949839,0.00149178],"study_design_scores_gemma":[0.001617853,0.001415699,0.0008132228,0.0008092239,0.0002807042,0.0004168273,0.00005503749,0.0001034441,0.9937152,0.00004500137,0.0003864865,0.0003413006],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955725,0.00007028013,0.002427756,0.0004802376,0.0002072642,0.0008524631,0.0001257031,0.00005510537,0.0002086985],"genre_scores_gemma":[0.998086,0.0001387452,0.001217398,0.00007038423,0.0000398783,0.00001017529,0.00005080784,0.00004508394,0.0003415015],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002513533,"threshold_uncertainty_score":0.9999347,"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."}}