{"id":"W2091065497","doi":"10.1016/j.jff.2012.01.008","title":"Evaluation of the potential of dietary proteins as precursors of dipeptidyl peptidase (DPP)-IV inhibitors by an in silico approach","year":2012,"lang":"en","type":"article","venue":"Journal of Functional Foods","topic":"Protein Hydrolysis and Bioactive Peptides","field":"Biochemistry, Genetics and Molecular Biology","cited_by":220,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Dairy Commission","keywords":"In silico; Dipeptidyl peptidase; Biochemistry; Enzyme; Protease; Peptide; Chemistry; Serine protease; Dipeptidyl peptidase-4; Incretin; Serine; Exopeptidase; Biology; Diabetes mellitus; Type 2 diabetes; Endocrinology; Gene","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019498,0.0001317147,0.0002442681,0.00007849157,0.00003515656,0.000004729975,0.0001797133,0.0001386569,0.00003605034],"category_scores_gemma":[0.0002518602,0.00008989398,0.0002723708,0.000164638,0.0001506942,0.00003766319,0.00006521366,0.0001611448,2.587342e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003676246,"about_ca_system_score_gemma":0.0002163259,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004021213,"about_ca_topic_score_gemma":0.000008148072,"domain_scores_codex":[0.9978513,0.0003845168,0.000596303,0.0001362894,0.0008799575,0.0001515981],"domain_scores_gemma":[0.9983203,0.00001320186,0.0007875149,0.0002006318,0.0006059308,0.00007239274],"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":[0.0004989619,0.001071052,0.01267525,0.00003322941,0.0001897557,9.134079e-8,0.00007524338,0.002507671,0.9798199,0.00001467409,0.0001998781,0.002914271],"study_design_scores_gemma":[0.001043711,0.001425611,0.1024099,0.00006145393,0.0001986794,0.00002862675,0.0002762118,0.0005280852,0.8935898,0.0001886638,0.000139282,0.0001100427],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997251,0.001550905,0.0003380133,0.00005649176,0.0001797594,0.0003028236,0.00002844567,8.621547e-7,0.000291668],"genre_scores_gemma":[0.9991173,0.00003078621,0.0003970868,0.00001584377,0.000349758,0.00001397748,0.00002839482,0.00001069586,0.00003620599],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08973461,"threshold_uncertainty_score":0.366577,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02302147797785626,"score_gpt":0.2700834603392164,"score_spread":0.2470619823613602,"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."}}