{"id":"W4412726029","doi":"10.1021/acs.bioconjchem.5c00178","title":"Use of Coiled-Coil Affinity Peptides to Manufacture Antibody Conjugates","year":2025,"lang":"ca","type":"article","venue":"Bioconjugate Chemistry","topic":"Monoclonal and Polyclonal Antibodies Research","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; PROTEO; Royal Victoria Hospital; Polytechnique Montréal; National Research Council Canada; Université du Québec à Montréal","funders":"National Research Council Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Chemistry; Conjugate; Antibody; In vivo; Peptide; Coiled coil; In vitro; Biodistribution; Conjugated system; Covalent bond; Fluorescence; Monomer; Combinatorial chemistry; Biochemistry; Molecular biology; Biophysics; Polymer; Immunology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004187456,0.0007667187,0.001320861,0.0002034207,0.0002573269,0.0001617558,0.0006564162,0.00066028,0.002511776],"category_scores_gemma":[0.0009073673,0.0006785876,0.0005116056,0.0007022883,0.0008073027,0.0001541048,0.0007209033,0.0009561356,0.0004271413],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001555271,"about_ca_system_score_gemma":0.0008282296,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001069409,"about_ca_topic_score_gemma":0.00002254263,"domain_scores_codex":[0.9958369,0.0001074814,0.001127221,0.001030411,0.0007949625,0.001103033],"domain_scores_gemma":[0.9964738,0.0007099509,0.0002905356,0.001109315,0.0006687079,0.000747636],"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":[0.002148979,0.0006268369,0.01666096,0.006968931,0.0008366263,0.0002194858,0.0002340497,0.00001820612,0.9323424,0.0002924796,0.0353695,0.004281546],"study_design_scores_gemma":[0.001009366,0.0001978228,0.01168606,0.002168749,0.0002627653,0.00002846438,0.0002642992,0.00006697549,0.7645512,0.0001226699,0.219169,0.0004726977],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9584745,0.005145899,0.00001645807,0.005791853,0.0004917008,0.0006629023,0.001367928,0.00008602333,0.02796276],"genre_scores_gemma":[0.8673489,0.003417386,0.0004326482,0.001642976,0.0005658815,0.00003891074,0.0005824367,0.00005869273,0.1259122],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1837995,"threshold_uncertainty_score":0.9995666,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03746362069501546,"score_gpt":0.3486681031293978,"score_spread":0.3112044824343823,"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."}}