{"id":"W4230716249","doi":"10.1504/ijdmb.2020.112850","title":"MHCherryPan: a novel pan-specific model for binding affinity prediction of class I HLA-peptide","year":2020,"lang":"en","type":"article","venue":"International Journal of Data Mining and Bioinformatics","topic":"vaccines and immunoinformatics approaches","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Human leukocyte antigen; Benchmark (surveying); Computational biology; Allele; Immune system; Artificial immune system; Biology; Computer science; Class (philosophy); Peptide; Artificial intelligence; Antigen; Immunology; Gene; Genetics; Biochemistry; Geography","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0004331772,0.0006790648,0.0006472626,0.0005445485,0.0002674568,0.0004583854,0.001625612,0.0008081337,0.001328482],"category_scores_gemma":[0.0005883135,0.0002991602,0.0005981874,0.0004432229,0.0002380712,0.0007361844,0.0005937798,0.0008871986,0.0003171219],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007413374,"about_ca_system_score_gemma":0.001079196,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0168054,"about_ca_topic_score_gemma":0.01598828,"domain_scores_codex":[0.9998813,0.00001809574,0.00000674096,0.0000404556,0.00002723977,0.00002607172],"domain_scores_gemma":[0.9998429,0.00005462466,0.00001877811,0.00001308987,0.00005436662,0.00001619459],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002093225,0.0001648775,0.004002255,0.00004882117,0.0001314028,0.0001423183,0.00002521804,0.8672113,0.006898559,0.00273406,0.002569416,0.1158625],"study_design_scores_gemma":[0.000002633253,0.00000747546,0.00008504629,8.739561e-7,0.000003810969,0.000006339931,7.000461e-7,0.9992656,0.000257105,0.0002529496,0.0001164061,0.000001200079],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1892129,0.001354686,0.8012974,0.0006990182,0.0001609397,0.0001139483,0.0008234044,0.002955126,0.003382547],"genre_scores_gemma":[0.8508148,0.0006551487,0.1376966,0.0004512263,0.00008995576,0.0001885812,0.001571305,0.0001214763,0.008410945],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0168054,"threshold_uncertainty_score":0.0334152,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1157585872825637,"score_gpt":0.2929261544225714,"score_spread":0.1771675671400076,"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."}}