{"id":"W4310214228","doi":"10.3390/antibiotics11121710","title":"Associating Biological Activity and Predicted Structure of Antimicrobial Peptides from Amphibians and Insects","year":2022,"lang":"en","type":"article","venue":"Antibiotics","topic":"Antimicrobial Peptides and Activities","field":"Immunology and Microbiology","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria; University of British Columbia; Canada's Michael Smith Genome Sciences Centre; BC Centre for Disease Control","funders":"Natural Sciences and Engineering Research Council of Canada; Genome British Columbia; Genome Canada","keywords":"Antimicrobial peptides; In silico; Antimicrobial; Biology; Peptide; Computational biology; Amino acid; Antibacterial activity; Peptide sequence; Broad spectrum; Microbiology; Biochemistry; Bacteria; Chemistry; Genetics; Combinatorial chemistry; Gene","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":[0.000097758,0.0001735883,0.0003696003,0.00006398393,0.0004205142,0.00002019285,0.0001143281,0.0001918796,0.0001111829],"category_scores_gemma":[0.00007600446,0.0001606519,0.00005295929,0.0001015413,0.0004150919,0.00007987044,0.0004013087,0.0004014451,0.000001094768],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002198672,"about_ca_system_score_gemma":0.00003387702,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007514925,"about_ca_topic_score_gemma":0.00006558561,"domain_scores_codex":[0.99898,0.0002158716,0.0002023184,0.0003058407,0.00003689542,0.0002590385],"domain_scores_gemma":[0.9993763,0.0002264641,0.0002177815,0.0001302149,0.00003049365,0.00001877204],"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":[0.00008781831,0.00007985604,0.09847098,0.00001826101,0.0001245991,0.000003668755,0.0005860205,0.000007026333,0.8989756,0.0001136684,0.0005888498,0.0009436211],"study_design_scores_gemma":[0.000988094,0.0003077631,0.2537386,0.00003622422,0.00006623131,0.00006228936,0.0007784594,0.00002117284,0.7432085,0.0001610222,0.0003693605,0.0002622409],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970291,0.0002664399,0.00002769857,0.0001186299,0.0002762908,0.0001354326,0.002043801,0.00004650955,0.00005610774],"genre_scores_gemma":[0.9990223,0.0001526484,0.0003294277,0.0001547047,0.00003599093,1.159409e-7,0.0002040754,0.00001466473,0.00008607129],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1557671,"threshold_uncertainty_score":0.6551196,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01116418540600413,"score_gpt":0.2079083888570135,"score_spread":0.1967442034510093,"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."}}