{"id":"W4409197918","doi":"10.1016/j.crfs.2025.101048","title":"Analysis of epitopes and structural responses in egg allergen Gal d 1 using bioinformatic tools and molecular dynamics simulation","year":2025,"lang":"en","type":"article","venue":"Current Research in Food Science","topic":"Transgenic Plants and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Fundamental Research Funds for the Central Universities; National Key Research and Development Program of China; National Natural Science Foundation of China","keywords":"Allergen; Epitope; Computational biology; Biology; Dynamics (music); Molecular dynamics; Evolutionary biology; Chemistry; Immunology; Physics; Antigen; Allergy","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":[0.0002294063,0.0005253732,0.0003880637,0.0004398023,0.0006125365,0.0003223182,0.0005143223,0.0005834083,0.001431386],"category_scores_gemma":[0.0004157422,0.0002648901,0.0005830553,0.0002807118,0.0002167306,0.0005266932,0.0002794168,0.000458229,0.0001305783],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004427721,"about_ca_system_score_gemma":0.0007023056,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00516431,"about_ca_topic_score_gemma":0.003702362,"domain_scores_codex":[0.9999367,0.00001509514,0.000003632268,0.00001168357,0.00001754959,0.00001541552],"domain_scores_gemma":[0.9998941,0.00004622737,0.0000143122,0.000006922836,0.00002074744,0.00001768867],"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":[0.0002023369,0.0002859825,0.008539169,0.0002621402,0.0001289329,0.0002692149,0.0001433391,0.9342941,0.03915813,0.00583151,0.001015162,0.00986997],"study_design_scores_gemma":[0.00001370592,0.00002130671,0.0006696001,0.000003471412,0.000008159067,0.00001001827,0.00001702198,0.9973099,0.001279015,0.000460013,0.0002023175,0.000005492233],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.952759,0.0004095578,0.04128028,0.0003253979,0.00004343877,0.0000564289,0.0004556686,0.0006020421,0.004068344],"genre_scores_gemma":[0.9696848,0.0004064619,0.02840537,0.00006848175,0.00001082787,0.0001362432,0.0006660647,0.0001085468,0.0005132127],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00516431,"threshold_uncertainty_score":0.01026845,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09899201994882192,"score_gpt":0.4459987663558039,"score_spread":0.347006746406982,"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."}}