{"id":"W3010111157","doi":"10.1111/febs.15278","title":"Peptide cargo tunes a network of correlated motions in human leucocyte antigens","year":2020,"lang":"en","type":"article","venue":"FEBS Journal","topic":"Monoclonal and Polyclonal Antibodies Research","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Infection and Immunity","funders":"Biotechnology and Biological Sciences Research Council; University of Bristol; Engineering and Physical Sciences Research Council; University of Bath; Medical Research Council Canada; Wellcome Trust; Medical Research Council; Wellcome","keywords":"T-cell receptor; Peptide; Human leukocyte antigen; Immune system; Computational biology; Flexibility (engineering); Antigen; T cell; Receptor; Cell biology; Biology; Chemistry; Biophysics; Immunology; Genetics; Biochemistry","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":[0.0001242483,0.0001318886,0.0001437186,0.000100604,0.0002292167,0.0002795503,0.0001833461,0.0002133625,0.0009917842],"category_scores_gemma":[0.0002287425,0.0001468896,0.0001424945,0.000110989,0.0003627849,0.0003321968,0.0002204981,0.0003142048,0.00008573641],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002756087,"about_ca_system_score_gemma":0.0001989927,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007911899,"about_ca_topic_score_gemma":0.0007814287,"domain_scores_codex":[0.9999459,0.00001031451,0.000002870798,0.00001262786,0.00001192437,0.00001644545],"domain_scores_gemma":[0.9999516,0.00001692399,0.00001108111,0.000004477878,0.000003992488,0.00001195676],"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":[0.0005324714,0.0002073925,0.004556666,0.0001291466,0.00006876254,0.000378821,0.0001707138,0.09079263,0.8953969,0.002577658,0.0003115361,0.004877147],"study_design_scores_gemma":[0.0001490586,0.0007393829,0.02625591,0.00002275011,0.00004969768,0.0002180322,0.0002330805,0.6264153,0.3411881,0.003047031,0.001602836,0.00007873006],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982166,0.00008337308,0.001170138,0.00004121351,0.000005998267,0.000006332303,0.00002574981,0.00002085948,0.0004298566],"genre_scores_gemma":[0.9993607,0.00006549455,0.0004267194,0.0000185613,0.000001131408,0.000006299862,0.00002543155,0.000006866516,0.00008887378],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009917842,"threshold_uncertainty_score":0.003317893,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05347607718358591,"score_gpt":0.3265644965324594,"score_spread":0.2730884193488735,"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."}}