The Role of QSAR and Virtual Screening Studies in Type 2 Diabetes Drug Discovery

Author(s): Simone Q. Pantaleao, Drielli G.V. Fujii, Vinicius G. Maltarollo, Danielle da C. Silva, Gustavo H.G. Trossini, Karen C. Weber, Luis P.B. Scott, Kathia M. Honorio*.

Journal Name: Medicinal Chemistry

Volume 13 , Issue 8 , 2017

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Abstract:

Background: Due to the increasing number of diabetes cases worldwide, there is an international concern to provide even more effective treatments to control this condition.

Methods: This review brings together a selection of studies that helped to broaden the comprehension of various biological targets and associated mechanisms involved in type 2 diabetes mellitus.

Results: Such studies demonstrated that QSAR techniques and virtual screenings have been successfully employed in drug design projects.

Conclusions: Therefore, the main goal of this review is to give the state-of-art for the development of new drugs for the treatment of type 2 diabetes mellitus and to evaluate how computational tools, such as virtual screening and 3D-QSAR, can aid the development of new drugs with reduced adverse side effects.

Keywords: Biological targets, computational chemistry, diabetes, drug design, QSAR, virtual screening.

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Article Details

VOLUME: 13
ISSUE: 8
Year: 2017
Page: [706 - 720]
Pages: 15
DOI: 10.2174/1573406413666170522152102
Price: $58

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