{"id":"W3130872260","doi":"10.3389/fmedt.2021.626481","title":"Modeling Cell Selectivity of Antimicrobial Peptides: How Is the Selectivity Influenced by Intracellular Peptide Uptake and Cell Density","year":2021,"lang":"en","type":"article","venue":"Frontiers in Medical Technology","topic":"Antimicrobial Peptides and Activities","field":"Immunology and Microbiology","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"National Institute of General Medical Sciences; Natural Sciences and Engineering Research Council of Canada","keywords":"Selectivity; Peptide; Cell; Chemistry; Antimicrobial peptides; Intracellular; Biophysics; Antimicrobial; Combinatorial chemistry; Biochemistry; Biology; Organic chemistry; Catalysis","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":[0.0006064124,0.0003521779,0.0008358347,0.0002435241,0.0002896242,0.00002882535,0.0005062866,0.001203852,0.00006262994],"category_scores_gemma":[0.0004626529,0.0003022893,0.0001385597,0.0007075026,0.001583989,0.0001559216,0.0004246026,0.001710946,0.000007360162],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008012255,"about_ca_system_score_gemma":0.0003104002,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000241281,"about_ca_topic_score_gemma":0.0000997499,"domain_scores_codex":[0.9976293,0.00031325,0.0004707122,0.0007272683,0.0001348054,0.0007246076],"domain_scores_gemma":[0.9989658,0.0001429655,0.0001944058,0.0004747557,0.0001675345,0.00005452835],"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":[0.00009310043,0.00039618,0.01481442,0.0001230746,0.0001147136,0.00004817059,0.0005013961,0.00003413083,0.9321426,0.00009597871,0.04615581,0.005480403],"study_design_scores_gemma":[0.001435419,0.0001046869,0.00021433,0.0001017125,0.00006638545,0.000175653,0.002199835,0.001635377,0.9880624,0.0008150134,0.004837196,0.0003520001],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9652413,0.004938215,0.02367746,0.005084811,0.0004809996,0.0002662871,0.0000448973,0.00009995573,0.0001660334],"genre_scores_gemma":[0.9941928,0.001482553,0.002775237,0.0006518998,0.00002627676,0.0000135179,0.00002973056,0.00002983725,0.0007981914],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05591976,"threshold_uncertainty_score":0.9999429,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004453474390161548,"score_gpt":0.197275313761992,"score_spread":0.1928218393718304,"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."}}