{"id":"W4403451626","doi":"10.1021/jacs.4c11648","title":"Rapid Systematic Screening of Bispecific Antibody Surrogate Geometries for T-Cell Engagement Using DNA Nanotechnology","year":2024,"lang":"en","type":"article","venue":"Journal of the American Chemical Society","topic":"Monoclonal and Polyclonal Antibodies Research","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Centre Hospitalier Universitaire Sainte-Justine; National Research Council Canada; McMaster University; Institut National de la Recherche Scientifique","funders":"Fonds de Recherche du Québec - Santé; Natural Sciences and Engineering Research Council of Canada; Prostate Cancer Canada; Canadian Institutes of Health Research; Cancer Research Society","keywords":"Chemistry; Bispecific antibody; Nanotechnology; DNA; Antibody; Monoclonal antibody; Immunology; 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":[0.0005020411,0.0004310368,0.000278834,0.0002386261,0.0001069848,0.0003315071,0.0003094359,0.0003970972,0.0005897375],"category_scores_gemma":[0.0009534681,0.0002016884,0.0002151186,0.0002436771,0.000210715,0.0003492991,0.000318625,0.0004503718,0.0002516382],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003503578,"about_ca_system_score_gemma":0.0002301198,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001258849,"about_ca_topic_score_gemma":0.0004602337,"domain_scores_codex":[0.999647,0.00007652273,0.00002500679,0.00007563857,0.000137394,0.00003833147],"domain_scores_gemma":[0.9997584,0.00009366456,0.00006337679,0.00002407984,0.00004279068,0.00001762058],"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":[0.00007952513,0.00006666459,0.0003987305,0.0001246129,0.000009892274,0.00005522758,0.00003194477,0.007607736,0.9846735,0.001303242,0.00008072218,0.005568264],"study_design_scores_gemma":[0.00001191043,0.0004995029,0.0002994825,0.000007380386,0.000007097452,0.00004106024,0.00001881146,0.01607885,0.9815773,0.0002014653,0.001248831,0.000008132063],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.931376,0.001339136,0.0638363,0.000116504,0.00004118398,0.0002179852,0.0003146013,0.0001669541,0.002591169],"genre_scores_gemma":[0.9492018,0.00111404,0.04828656,0.00004517464,0.000006805964,0.000182195,0.0002883727,0.00002837729,0.0008465932],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005897375,"threshold_uncertainty_score":0.002655029,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05314578417347426,"score_gpt":0.3494584461125177,"score_spread":0.2963126619390434,"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."}}