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Volume 11
Journal of Proteomics & Bioinformatics Open Access
Computational Biology 2018
September 05-06, 2018
September 05-06, 2018 Tokyo, Japan
International Conference on
Computational Biology and Bioinformatics
J Proteomics Bioinform 2018, Volume 11
DOI: 10.4172/0974-276X-C1-113
In silico
study of repositioning of drugs against a candidate drug target implicated in type-2 diabetes
Prateek Kumar
Indian Institute of Technology Mandi, India
D
iabetes is the 7
th
major cause of deaths throughout the world. In 2015, 415 million people were living with diabetes and
Type-2 Diabetes (T2D) consists about 90% of cases. T2D is characterized by hyperglycemia and caused due to improper
production of insulin. Few years back, the genetic architecture of T2D was not clear. After 2007, several high throughput
studies such as Genome Wide Association (GWA) studies and Next Generation Sequencing (NGS) have been conducted on
the different populations. These studies have confirmed the association of several genes with T2D. GWA studies have proved
the association of gene
KCNJ11
, potassium inwardly rectifying channel subfamily J member 11, in T2D signaling pathway.
KCNJ11
regulates the insulin secretion in pancreatic beta cells by inhibiting ATP sensitive potassium channel. Several drugs
are available for the treatment of T2D but either due to their improper binding or their stability in the target protein they cause
side effects. The crystal structure of human
has not been solved yet, so structure modeling of
KCNJ11
was performed
using computational approaches. To identify the interaction of drugs targeting
KCNJ11
,
in silico
docking was performed and
the binding effects of these drugs were analyzed by molecular dynamic simulation. This study may provide a valuable insight on
further structure-based drug design approaches for
KCNJ11
for the treatment of type-2 diabetes.
kumar.prateek3@yahoo.com