{"id":"W2981162329","doi":"10.1016/j.compbiolchem.2019.107145","title":"PeSA: A software tool for peptide specificity analysis","year":2019,"lang":"en","type":"article","venue":"Computational Biology and Chemistry","topic":"Chemical Synthesis and Analysis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Motif (music); Computational biology; Peptide; Substrate specificity; Computer science; Protein–protein interaction; Bioinformatics; Biology; Biochemistry; Enzyme","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":[0.001274805,0.002880029,0.001554157,0.002407356,0.0009877383,0.002149095,0.002410776,0.001249242,0.04383231],"category_scores_gemma":[0.004073282,0.001626165,0.002320386,0.001617611,0.0005159687,0.002083543,0.002028893,0.00231257,0.01578187],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006382378,"about_ca_system_score_gemma":0.00155932,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001842996,"about_ca_topic_score_gemma":0.001958134,"domain_scores_codex":[0.9994516,0.00008702485,0.00007601257,0.000143778,0.0001745178,0.0000670657],"domain_scores_gemma":[0.9988595,0.0006818639,0.00007936867,0.0001431923,0.0001776229,0.00005832738],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002593657,0.000457985,0.00818036,0.004655427,0.001471355,0.001257923,0.0006578311,0.04181123,0.0583749,0.02971055,0.4634188,0.38741],"study_design_scores_gemma":[0.00115485,0.00028013,0.003621604,0.0003754171,0.0005508266,0.001408141,0.0001897725,0.4404626,0.1097475,0.0726878,0.3691643,0.0003570826],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.009124793,0.0004963042,0.5184804,0.0002098032,0.0001922855,0.0002270727,0.0227055,0.4423368,0.006227053],"genre_scores_gemma":[0.1184056,0.001080291,0.6942407,0.0009668843,0.0001395905,0.002373875,0.07288493,0.09541912,0.01448896],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.04383231,"threshold_uncertainty_score":0.1466337,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005345595785304701,"score_gpt":0.241438301268556,"score_spread":0.2360927054832513,"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."}}