{"id":"W2038283518","doi":"10.1371/journal.pone.0012684","title":"Serum Stabilities of Short Tryptophan- and Arginine-Rich Antimicrobial Peptide Analogs","year":2010,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Antimicrobial Peptides and Activities","field":"Immunology and Microbiology","cited_by":332,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Canadian Institutes of Health Research; University of Calgary","keywords":"Peptide; Antimicrobial peptides; Antimicrobial; Chemistry; Proteolysis; Peptide sequence; Biochemistry; Tryptophan; Bovine serum albumin; Isothermal titration calorimetry; Beta defensin; Peptide library; Arginine; Tandem mass spectrometry; Amino acid; Combinatorial chemistry; Mass spectrometry; Chromatography; Organic chemistry","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":[0.0001570215,0.0002077865,0.0004976384,0.0001143123,0.0001435465,0.0000204992,0.0001714532,0.0002457468,0.0007841552],"category_scores_gemma":[0.00007553792,0.0001941871,0.0000732359,0.00009478213,0.0007139387,0.0001621351,0.0001278365,0.000451993,0.00005013646],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008749614,"about_ca_system_score_gemma":0.00004779438,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001474564,"about_ca_topic_score_gemma":0.0001891494,"domain_scores_codex":[0.9989175,0.00005539285,0.0003215528,0.0003009565,0.0000463443,0.0003582972],"domain_scores_gemma":[0.999353,0.0001302927,0.00009190779,0.0002876483,0.0001083742,0.00002879924],"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":[0.00008220755,0.0006613656,0.03111767,0.0001391695,0.0003072312,0.000001869037,0.0004901213,3.378077e-7,0.9652646,0.0004830844,0.001140822,0.0003114794],"study_design_scores_gemma":[0.0005458449,0.0001742324,0.02131128,0.00008566344,0.000127614,0.00002357323,0.0003811656,0.00000260258,0.9764044,0.0001193542,0.000586085,0.0002381967],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965622,0.0001990368,0.000008039338,0.0003037511,0.0001924692,0.0002139709,0.000214784,0.00006428813,0.002241478],"genre_scores_gemma":[0.9949007,0.0001257425,0.0009167852,0.0001145077,0.00007589774,0.000007108059,0.00005660309,0.00002394805,0.003778687],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01113974,"threshold_uncertainty_score":0.858595,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01965693920880567,"score_gpt":0.21173446002704,"score_spread":0.1920775208182343,"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."}}