{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000416887,0.0003551438,0.0002184315,0.0001982216,0.0001411248,0.000331852,0.000177057,0.0003084436,0.0008720032],"category_scores_gemma":[0.0003890557,0.0001600141,0.0001558075,0.0001720124,0.0001871273,0.0002529072,0.0001906251,0.0004636114,0.0005220599],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002485249,"about_ca_system_score_gemma":0.0001555275,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009730944,"about_ca_topic_score_gemma":0.0002294894,"domain_scores_codex":[0.9997003,0.00006843131,0.00003934371,0.00007411421,0.00007581376,0.000042031],"domain_scores_gemma":[0.9996887,0.00008377057,0.0001010531,0.00003965126,0.0000477121,0.00003912746],"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":[0.0000178333,0.00001369659,0.00006227171,0.00002247126,0.000002973096,0.00002494994,0.00001044778,0.0001204255,0.9985169,0.00008845903,0.00001489721,0.001104696],"study_design_scores_gemma":[0.000006398366,0.0001106213,0.0003137325,0.000001539473,0.00000407136,0.00009597545,0.000004656783,0.0004218134,0.9977604,0.00001697823,0.001261192,0.000002568233],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9313191,0.001421742,0.06435249,0.0001095726,0.00005276268,0.0002608234,0.0001362895,0.0001744254,0.002172854],"genre_scores_gemma":[0.9205976,0.0009892184,0.07473267,0.0001524203,0.00002801939,0.0001833194,0.0004096055,0.0000546534,0.002852653],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008720032,"threshold_uncertainty_score":0.002917171,"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."}}