iDPPIV-SCM: A Sequence-Based Predictor for Identifying and Analyzing Dipeptidyl Peptidase IV (DPP-IV) Inhibitory Peptides Using a Scoring Card Method

• Published in: Journal of proteome research Vol. 19; no. 10; pp. 4125 - 4136
• Main Authors: Charoenkwan, Phasit, Kanthawong, Sakawrat, Nantasenamat, Chanin, Hasan, Md. Mehedi, Shoombuatong, Watshara
• Format: Journal Article
• Language: English
• Published: American Chemical Society 02.10.2020
• Subjects: amino acids; bioactive properties; bioinformatics; blood glucose; decision support systems; dipeptidyl-peptidase IV; enzyme inhibition; noninsulin-dependent diabetes mellitus; peptides; prediction; proteome; rapid methods; regression analysis; screening; support vector machines; scoring card method; peptide; dipeptidyl peptidase IV inhibition; machine learning; diabetes; propensity score
• ISSN: 1535-3893; 1535-3907; 1535-3907
• DOI: 10.1021/acs.jproteome.0c00590

The inhibition of dipeptidyl peptidase IV (DPP-IV, E.C.3.4.14.5) is well recognized as a new avenue for the treatment of Type 2 diabetes (T2D). Until now, peptide-like DDP-IV inhibitors have been shown to normalize the blood glucose concentration in T2D subjects. To the best of our knowledge, there...