{"id":"W4398333637","doi":"10.20944/preprints202405.1417.v1","title":"Humanization of pan-HLA-DR mAb 44H10 Hinges on Critical Residues in the Antibody Framework","year":2024,"lang":"en","type":"preprint","venue":"Preprints.org","topic":"Monoclonal and Polyclonal Antibodies Research","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs; Hospital for Sick Children; University of Toronto","funders":"Canadian Light Source; Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; National Cancer Institute; Canada Research Chairs; National Institutes of Health; Hospital for Sick Children; Office of Science; National Institute of General Medical Sciences; Canadian Institute for Advanced Research; Argonne National Laboratory; U.S. Department of Energy","keywords":"Hinge; Monoclonal antibody; Antibody; Human leukocyte antigen; Computational biology; Engineering; Immunology; Medicine; Biology; Antigen; Structural engineering","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":[0.0002076832,0.0002760755,0.0001281265,0.00009614018,0.00007486086,0.0001806336,0.0001876693,0.0002983274,0.001469769],"category_scores_gemma":[0.00009936911,0.0001112015,0.0001755417,0.00007539948,0.0002035306,0.0001126279,0.0001803335,0.0004390473,0.0004066844],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002544279,"about_ca_system_score_gemma":0.0002380276,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004494026,"about_ca_topic_score_gemma":0.0006145879,"domain_scores_codex":[0.9999084,0.0000166109,0.00000484875,0.00002303277,0.00002329147,0.00002382701],"domain_scores_gemma":[0.9999508,0.000007470148,0.00001545401,0.000008018535,0.000006309951,0.00001191311],"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":[0.00002400056,0.00001436632,0.00008034287,0.00001618977,0.000002590832,0.00003593101,0.000008765474,0.000150898,0.9975309,0.0002102884,0.00005523233,0.001870446],"study_design_scores_gemma":[0.00001427675,0.0002540587,0.0007618234,0.000004651633,0.000009451327,0.0002986395,0.000008856264,0.0006481619,0.9886547,0.00005059541,0.009291474,0.000003334826],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9644773,0.00103627,0.02866977,0.0002245905,0.00006809347,0.0001197843,0.0002882927,0.0001992278,0.004916661],"genre_scores_gemma":[0.9668957,0.0007778776,0.02683671,0.0002019976,0.00001502592,0.00004926156,0.0004496441,0.00005427942,0.004719603],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001469769,"threshold_uncertainty_score":0.004916847,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1760620863515523,"score_gpt":0.4759444534873446,"score_spread":0.2998823671357922,"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."}}