{"id":"W2040877465","doi":"10.1034/j.1399-3011.2001.00786.x","title":"DiSSiMiL: Diverse Small Size Mini‐Libraries applied to simple and rapid epitope mapping of a monoclonal antibody","year":2001,"lang":"en","type":"article","venue":"Journal of Peptide Research","topic":"Monoclonal and Polyclonal Antibodies Research","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"National Institute of General Medical Sciences; National Cancer Institute","keywords":"Epitope; Pentapeptide repeat; Monoclonal antibody; Epitope mapping; Linear epitope; Computational biology; Chemistry; Amino acid; Biochemistry; Molecular biology; Biology; Peptide; Antibody; Genetics","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":[0.0005846805,0.0008593283,0.0006971241,0.0007308595,0.0002790031,0.000744799,0.0006619577,0.0003840504,0.002510016],"category_scores_gemma":[0.0005032895,0.0004166373,0.0003258369,0.0005170585,0.0003515591,0.0003633264,0.0006327623,0.0008221164,0.001501543],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003602986,"about_ca_system_score_gemma":0.0003122483,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002417645,"about_ca_topic_score_gemma":0.0008005763,"domain_scores_codex":[0.9995124,0.00009887431,0.00003647693,0.00007493901,0.0001989193,0.00007844409],"domain_scores_gemma":[0.999767,0.00006891839,0.00004374528,0.00004347179,0.00003012495,0.00004673263],"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":[0.0001619315,0.00006269353,0.0001463604,0.00006915895,0.00001131037,0.00005811983,0.00001708927,0.0002291271,0.9891101,0.0002351742,0.0001745178,0.009724482],"study_design_scores_gemma":[0.00004732853,0.0005278791,0.000720881,0.000004868495,0.00002642815,0.0002656567,0.00001269137,0.001293982,0.9912359,0.0001792648,0.005676989,0.000008112043],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.7313973,0.003789847,0.2501879,0.0004870699,0.0001772937,0.001683713,0.002870745,0.002015966,0.007390137],"genre_scores_gemma":[0.7822868,0.003221015,0.184223,0.0006005592,0.00007517783,0.001702092,0.009307752,0.0003592679,0.01822437],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.002510016,"threshold_uncertainty_score":0.008396804,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.117810078136323,"score_gpt":0.3919110685651907,"score_spread":0.2741009904288677,"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."}}