{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002797412,0.0003938318,0.000358857,0.00127837,0.0002577534,0.0005805201,0.000153678,0.0003073733,0.001526359],"category_scores_gemma":[0.0007230741,0.0001436159,0.0006750382,0.0006986071,0.0001623466,0.0002691761,0.0003040438,0.0003955261,0.0006183211],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001845009,"about_ca_system_score_gemma":0.0002034867,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005127449,"about_ca_topic_score_gemma":0.0009101082,"domain_scores_codex":[0.9997901,0.00003378788,0.00001862694,0.00007544961,0.000055683,0.00002635305],"domain_scores_gemma":[0.9996437,0.0001166944,0.0001284844,0.00002124944,0.00004935609,0.00004059658],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001126595,0.0001419824,0.1680052,0.001134967,0.0003090262,0.0007709243,0.0002405709,0.01359091,0.7431744,0.0004429413,0.001814354,0.06924824],"study_design_scores_gemma":[0.00009401316,0.001373975,0.6120379,0.000176295,0.0007689287,0.004909825,0.0005463804,0.117614,0.2333224,0.00113752,0.02788471,0.0001340311],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9827002,0.002392404,0.007533797,0.00006459367,0.00001548943,0.00002633384,0.005626288,0.0003326626,0.001308306],"genre_scores_gemma":[0.9550264,0.001026158,0.02373135,0.00007624181,0.00002277334,0.00003886549,0.0194458,0.00009751133,0.0005348268],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001526359,"threshold_uncertainty_score":0.005106151,"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."}}