Manuscript Number : IJSRST184163
In-Silico Molecular Characterization of MST1 Protein
Authors(3) :-Vinod P. Sinoorkar, Pratiksha Thakurdas, Reshma Ghodake Diabetes mellitus (DM), commonly referred to as diabetes, is a group of metabolic diseases in which there are high blood sugar levels over a prolonged period. Diabetes cases up to 422 million worldwide; India ranks among top 3 countries with diabetic population. Diabetes is due to either the pancreas not producing enough insulin or the cells of the body not responding properly to the insulin produced. Two distinct mechanisms are responsible for the death of ? cells one through ER stress induced death and the other being cytokine mediated death via apoptosis. Various literature and the molecular pathways emphasizes the involvement of one major protein for ? cell death named as MST-1. Mammalian Sterile-20-like kinase (MST1, also known as STK4, KRS2) is an ubiquitously expressed serine/threonine kinase, it is part of the Hippo signaling pathway and involved in multiple cellular processes such as morphogenesis, proliferation, stress response and apoptosis. Hence our present investigations focus mainly to understand the detailed molecular features of MST-1 by retrieving its protein sequence from major protein sequence repository, analysing the physico-chemical properties, secondary structural elements and tertiary structure prediction using various databases, tools and techniques of bioinformatics.
Vinod P. Sinoorkar Diabetes Mellitus, β Cell Death, STK4, KRS2, MST1 Protein. Publication Details
Published in : Volume 4 | Issue 2 | January-February 2018 Article Preview
Walchand Centre for Biotechnology, Walchand College of Arts and Science, Solapur, Maharashtra, India
Pratiksha Thakurdas
Walchand Centre for Biotechnology, Walchand College of Arts and Science, Solapur, Maharashtra, India
Reshma Ghodake
Walchand Centre for Biotechnology, Walchand College of Arts and Science, Solapur, Maharashtra, India
Date of Publication : 2018-02-28
License: This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 542-546
Manuscript Number : IJSRST184163
Publisher : Technoscience Academy
Journal URL : https://ijsrst.com/IJSRST184163
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|"Protein Information Resource: A community resource for expert annotation of protein data". Nucleic Acids Research. 29 (1): 29?32. doi:10.1093/nar/29.1.29. PMC 29802. PMID 11125041.