{"id":"W2101231992","doi":"10.1038/msb.2011.18","title":"The multiple‐specificity landscape of modular peptide recognition domains","year":2011,"lang":"en","type":"article","venue":"Molecular Systems Biology","topic":"Monoclonal and Polyclonal Antibodies Research","field":"Medicine","cited_by":90,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lunenfeld-Tanenbaum Research Institute; Mount Sinai Hospital; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Ontario Genomics Institute; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; European Molecular Biology Organization; Heart and Stroke Foundation of Canada; Canadian Cancer Society Research Institute; Canadian Institutes of Health Research; Ontario Genomics; Cystic Fibrosis Foundation; National Science Foundation","keywords":"Biology; Modular design; Computational biology; Peptide; Biochemistry; Computer science","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":[0.0001509439,0.0001550267,0.000204419,0.0002626602,0.0001926734,0.0004871178,0.0001627566,0.0001815044,0.0006243906],"category_scores_gemma":[0.0003395654,0.0001407033,0.0001329969,0.0001991826,0.0002469862,0.000312997,0.0001767217,0.000192701,0.0001509843],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002920946,"about_ca_system_score_gemma":0.00009711263,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003054424,"about_ca_topic_score_gemma":0.0004658676,"domain_scores_codex":[0.999907,0.00002349257,0.000002868191,0.00002726985,0.00002422749,0.00001518734],"domain_scores_gemma":[0.9998806,0.00004686711,0.000027566,0.00001226679,0.00001051877,0.00002228432],"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":[0.0004266979,0.00006852331,0.03595816,0.0001562536,0.00008138788,0.0006577453,0.0001047368,0.09558472,0.7802284,0.02599887,0.001055858,0.05967861],"study_design_scores_gemma":[0.00004548412,0.0003321352,0.06235433,0.00002678721,0.00009243627,0.00172288,0.0001487381,0.6897278,0.1675699,0.07069271,0.007234195,0.00005258994],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9860933,0.0004108165,0.01129387,0.00007699897,0.000002073701,0.000002780951,0.00006615412,0.00006985322,0.00198409],"genre_scores_gemma":[0.997908,0.00009808573,0.001753566,0.00001631294,0.000002101491,0.000002774706,0.00005716486,0.000005128642,0.0001568895],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006243906,"threshold_uncertainty_score":0.002119303,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05039812650969312,"score_gpt":0.2822825332092814,"score_spread":0.2318844066995883,"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."}}