{"id":"W4415225267","doi":"10.1016/j.mcpro.2025.101088","title":"Sequencing of Polyclonal Antibodies by Integrating Intact Mass, Middle–Down, and De Novo Bottom–Up Mass Spectrometry","year":2025,"lang":"en","type":"article","venue":"Molecular & Cellular Proteomics","topic":"Monoclonal and Polyclonal Antibodies Research","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Blackberry (Canada); Bioinformatics Solutions (Canada)","funders":"National Key Research and Development Program of China","keywords":"Polyclonal antibodies; Monoclonal antibody; Antibody; Germline; Recombinant DNA; DNA sequencing; HEK 293 cells; Cell culture; Mass spectrometry","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":[0.002435785,0.00137711,0.0009178188,0.001825295,0.0006662155,0.001516021,0.0008994606,0.0007291912,0.002214352],"category_scores_gemma":[0.003985644,0.0006923843,0.000848886,0.0008748927,0.0005935367,0.0007916108,0.001080666,0.001692143,0.002492202],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006792833,"about_ca_system_score_gemma":0.001360095,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001776424,"about_ca_topic_score_gemma":0.003469658,"domain_scores_codex":[0.9978415,0.0002650137,0.0002293708,0.0006686861,0.0008176686,0.0001777859],"domain_scores_gemma":[0.9980844,0.0004334763,0.0002450637,0.000279354,0.0008103459,0.0001472798],"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":[0.0001504437,0.00005837711,0.0009478549,0.0002448894,0.00007773351,0.0001239984,0.0001685924,0.000606337,0.9685476,0.0009078461,0.001167215,0.02699909],"study_design_scores_gemma":[0.0000290254,0.0002107329,0.003960498,0.00006863519,0.0000949785,0.0003421984,0.00006939577,0.01205071,0.9521968,0.001202111,0.0297118,0.00006304448],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1979252,0.003681114,0.7746346,0.0004906504,0.000386114,0.0009970787,0.00624064,0.006526523,0.009118068],"genre_scores_gemma":[0.2018164,0.002662932,0.7711625,0.0010334,0.0001432163,0.000723609,0.01263282,0.002076454,0.007748605],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002435785,"threshold_uncertainty_score":0.01288182,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01313825640564378,"score_gpt":0.2699143827818882,"score_spread":0.2567761263762444,"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."}}