{"id":"W4388653082","doi":"10.1021/acs.bioconjchem.3c00357","title":"Rapid Access to Potent Bispecific T Cell Engagers Using Biogenic Tyrosine Click Chemistry","year":2023,"lang":"en","type":"article","venue":"Bioconjugate Chemistry","topic":"Monoclonal and Polyclonal Antibodies Research","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"H2020 Marie Skłodowska-Curie Actions; Wageningen University Fund; Engineering and Physical Sciences Research Council; Centre National de la Recherche Scientifique; Wageningen University and Research; Université de Strasbourg; University College London; Agence Nationale de la Recherche; Queen's University Belfast; European Commission; Queen's University","keywords":"Chemistry; Bispecific antibody; Antigen; Click chemistry; Antibody; Computational biology; Modular design; Construct (python library); Combinatorial chemistry; Biochemistry; Monoclonal antibody; Computer science; Immunology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003390353,0.0003842434,0.000455866,0.0001027428,0.000255171,0.0001283478,0.0004934926,0.0002514166,0.002226454],"category_scores_gemma":[0.00009908851,0.0003457675,0.0002928939,0.001026458,0.00018037,0.00008308821,0.0005123725,0.0005094714,0.0007606788],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001799855,"about_ca_system_score_gemma":0.0002503821,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009222248,"about_ca_topic_score_gemma":5.02518e-7,"domain_scores_codex":[0.9972765,0.00002789497,0.000462848,0.0007443516,0.0006094257,0.0008789386],"domain_scores_gemma":[0.9982492,0.00008039192,0.00009934959,0.0006350646,0.0001755611,0.0007604366],"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":[0.0003263106,0.0001221519,0.001904632,0.0009822542,0.00007511008,0.0002872484,0.00005853262,0.00002085161,0.9793146,0.00000112099,0.01517413,0.001733047],"study_design_scores_gemma":[0.0008627196,0.00003886572,0.001806691,0.0001419924,0.00004931141,0.00009959437,0.0001569156,0.0003528872,0.9086263,0.00001118079,0.08749297,0.0003606291],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9827284,0.001020288,0.000009620348,0.002625208,0.0001507146,0.0004354907,0.000159514,0.000240404,0.01263031],"genre_scores_gemma":[0.9706814,0.001326617,0.0003472042,0.0007494078,0.00118715,0.00005924463,0.0005349997,0.0001007034,0.02501329],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07231883,"threshold_uncertainty_score":0.9998994,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09623948232885196,"score_gpt":0.3468809702756837,"score_spread":0.2506414879468317,"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."}}