{"id":"W4383550220","doi":"10.1101/2023.07.06.548021","title":"Engineered Antigen-Binding Fragments for Enhanced Crystallisation of Antibody:Antigen Complexes","year":2023,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Monoclonal and Polyclonal Antibodies Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Sinai Health System; Lunenfeld-Tanenbaum Research Institute; University of Toronto; University of Waterloo","funders":"","keywords":"Antigen; Crystallization; Chemistry; Immunoglobulin Fab Fragments; Antibody; Computational biology; Crystallography; Epitope; Antigen-Antibody Complex; Biology; Immunoglobulin light chain; Genetics; Complementarity determining region","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":[0.0005684039,0.000325569,0.0004215418,0.0002754064,0.0001207895,0.0003813957,0.0003702353,0.0002773431,0.0009153927],"category_scores_gemma":[0.0004889675,0.000148303,0.0002356765,0.0003288064,0.0002074044,0.0001444281,0.0003391622,0.0006164875,0.0003344469],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003502616,"about_ca_system_score_gemma":0.0002187418,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007177089,"about_ca_topic_score_gemma":0.001101456,"domain_scores_codex":[0.9997076,0.00008353983,0.0000291543,0.00003157929,0.00009941598,0.00004858807],"domain_scores_gemma":[0.9998378,0.00004819927,0.00003389457,0.00002206481,0.00003567238,0.0000225041],"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":[0.00008639407,0.00004443938,0.000232565,0.0000208679,0.00001284031,0.00005801468,0.00002761344,0.0009112692,0.9967758,0.0001696352,0.00006465625,0.001595936],"study_design_scores_gemma":[0.0000220621,0.0001338336,0.0008664692,0.000003151144,0.00001227277,0.000100296,0.0000107498,0.002883694,0.9942741,0.0000421194,0.001646357,0.0000048467],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9799284,0.000531112,0.01812489,0.0001196922,0.00002264567,0.00006480006,0.0002440173,0.0001200635,0.0008443382],"genre_scores_gemma":[0.982735,0.0002567547,0.01525265,0.00007121545,0.000006271458,0.00002831205,0.0003933774,0.00006983542,0.0011866],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009153927,"threshold_uncertainty_score":0.003062248,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04440002339599802,"score_gpt":0.3113750540157204,"score_spread":0.2669750306197224,"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."}}