{"id":"W4313527435","doi":"10.1109/bibm55620.2022.9995066","title":"Unseen Epitope-TCR Interaction Prediction based on Amino Acid Physicochemical Properties","year":2022,"lang":"en","type":"article","venue":"2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","topic":"vaccines and immunoinformatics approaches","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"Science and Engineering Research Council","keywords":"Epitope; T-cell receptor; Computational biology; Amino acid; Computer science; Artificial intelligence; Sequence (biology); Product (mathematics); Epitope mapping; T cell; Antigen; Chemistry; Biology; Mathematics; Biochemistry; Immune system; Genetics","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":[0.000818463,0.0008359684,0.0007817913,0.000945746,0.0002110259,0.0007265474,0.0003984905,0.0007551336,0.000706587],"category_scores_gemma":[0.001761634,0.0002229786,0.0009619847,0.0005727428,0.000245049,0.00119934,0.0004342611,0.0008581313,0.0005434267],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003021772,"about_ca_system_score_gemma":0.0003405667,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001252376,"about_ca_topic_score_gemma":0.002031441,"domain_scores_codex":[0.9995887,0.00008355395,0.00002771504,0.000126655,0.0001207831,0.00005256271],"domain_scores_gemma":[0.9990152,0.0004385972,0.0002346576,0.0001073366,0.0001503546,0.00005377171],"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":[0.001349592,0.0008540027,0.1595224,0.0003964091,0.0004808725,0.001117231,0.0001002635,0.3690226,0.1627945,0.001448693,0.003305029,0.2996084],"study_design_scores_gemma":[0.0000129655,0.0002291502,0.01598613,0.00001134509,0.00006594315,0.0003882799,0.00002291671,0.9658387,0.01556179,0.001172939,0.0006846845,0.00002509048],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.818336,0.00208449,0.1753288,0.0002336657,0.00004843026,0.00005103687,0.000802323,0.001171706,0.001943505],"genre_scores_gemma":[0.9735562,0.0004174213,0.02416103,0.00007130666,0.00002925206,0.00002586185,0.001004559,0.00003499601,0.0006994905],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001252376,"threshold_uncertainty_score":0.004328489,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0403913250873883,"score_gpt":0.2643326205174773,"score_spread":0.223941295430089,"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."}}