title: Find novel dual-agonist drugs for treating type 2 diabetes by means of cheminformatics.
abstract: The high prevalence of type 2 diabetes mellitus in the world as well as the increasing reports about the adverse side effects of the existing diabetes treatment drugs have made developing new and effective drugs against the disease a very high priority. In this study, we report ten novel compounds found by targeting peroxisome proliferator-activated receptors (PPARs) using virtual screening and core hopping approaches. PPARs have drawn increasing attention for developing novel drugs to treat diabetes due to their unique functions in regulating glucose, lipid, and cholesterol metabolism. The reported compounds are featured with dual functions, and hence belong to the category of dual agonists. Compared with the single PPAR agonists, the dual PPAR agonists, formed by combining the lipid benefit of PPARα agonists (such as fibrates) and the glycemic advantages of the PPARγ agonists (such as thiazolidinediones), are much more powerful in treating diabetes because they can enhance metabolic effects while minimizing the side effects. This was observed in the studies on molecular dynamics simulations, as well as on absorption, distribution, metabolism, and excretion, that these novel dual agonists not only possessed the same function as ragaglitazar (an investigational drug developed by Novo Nordisk for treating type 2 diabetes) did in activating PPARα and PPARγ, but they also had more favorable conformation for binding to the two receptors. Moreover, the residues involved in forming the binding pockets of PPARα and PPARγ among the top ten compounds are explicitly presented, and this will be very useful for the in-depth conduction of mutagenesis experiments. It is anticipated that the ten compounds may become potential drug candidates, or at the very least, the findings reported here may stimulate new strategies or provide useful insights for designing new and more powerful dual-agonist drugs for treating type 2 diabetes.
authors: PET/CT Center, General Hospital of Tianjin Medical University, Tianjin, People's Republic of China.
authors: Lei
authors: L
authors: Liu
authors: Ying
authors: Y
authors: Ma
authors: Run-Ling
authors: RL
authors: Wang
authors: Wei-Ren
authors: WR
authors: Xu
authors: Shu-Qing
authors: SQ
authors: Wang
authors: Kuo-Chen
authors: KC
authors: Chou
mesh_terms: D062126:Databases, Chemical; D003924:Diabetes Mellitus, Type 2 / Q000188:drug therapy*; D006801:Humans; D048088:Informatics; D062105:Molecular Docking Simulation; D056004:Molecular Dynamics Simulation; D047493:PPAR alpha / Q000819:agonists*; D047495:PPAR gamma / Q000819:agonists*
chemical_list: D047493:PPAR alpha; D047495:PPAR gamma
keywords: ADME; PPAR-alpha; PPAR-gamma; binding pocket; core hopping; diabetes; dual-agonist drug; molecular docking
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