Exploration of DPP-IV inhibitors with a novel scaffold by multistep in silico screening

J Mol Graph Model. 2018 Jan:79:254-263. doi: 10.1016/j.jmgm.2017.12.005. Epub 2017 Dec 14.

Abstract

Dipeptidyl peptidase-IV (DPP-IV), an enzyme that degrades incretins-hormones that promote insulin secretion-is a therapeutic target for type 2 diabetes, with a number of its inhibitors having been launched as therapies for diabetes. Since adverse effects of these inhibitors have recently been reported, the development of novel DPP-IV inhibitors with higher efficacy and safety is required. We, therefore, screened for novel DPP-IV inhibitors using the combination of an in silico drug discovery technique and a DPP-IV assay system. We initially selected seven candidate compounds as DPP-IV inhibitors from a database consisting of four million compounds by a multistep in silico screening procedure combining pharmacophore-based screening, docking calculation and the analysis of three-dimensional quantitative structure-activity relationship. We then measured the inhibitory activity of the selected compounds and identified a hit compound. In addition, we discuss the structure-activity relationship between the binding mode model and inhibitory activity of the hit compound.

Keywords: 3D-QSAR; DPP-IV; Discriminant; In silico screening; Inhibitor.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Binding Sites
  • Chemical Phenomena
  • Dipeptidyl Peptidase 4 / chemistry*
  • Dipeptidyl-Peptidase IV Inhibitors / chemistry*
  • Dipeptidyl-Peptidase IV Inhibitors / pharmacology
  • Dose-Response Relationship, Drug
  • Humans
  • Molecular Docking Simulation*
  • Molecular Dynamics Simulation*
  • Molecular Structure
  • Protein Binding
  • Quantitative Structure-Activity Relationship*

Substances

  • Dipeptidyl-Peptidase IV Inhibitors
  • Dipeptidyl Peptidase 4