NISCAIR Online Periodicals Repository

Research Journals >
Indian Journal of Biochemistry and Biophysics (IJBB) >
IJBB Vol.47 [2010] >
IJBB Vol.47(6) [December 2010] >

Title: Assessing the relationship among physicochemical properties of proteins with respect to hydrophobicity: A case study on AGC kinase superfamily
Authors: Banerjee, Amit Kumar
Manasa, B Poorna
Murty, Upadhyayula Suryanarayana
Keywords: CART
AGC Kinase
Data Mining
In Silico
Stochastic method
Issue Date: Dec-2010
Publisher: NISCAIR-CSIR, India
Abstract: Understanding the protein structures is crucial, as it is involved in every cellular activity. Several experimental techniques, such as X-Ray crystallography, nuclear magnetic resonance and electron microscopy are available to gain insight about the structure and function of a protein molecule. Gigantic data on protein structural and sequential information is deposited in various repositories regularly which provide us the scope for more theoretical studies. Hydrophobicity always plays a vital role in tertiary structure formation and behavior of a protein molecule. This study focuses on elucidating influence of several physicochemical properties on hydrophobicity of AGC kinase proteins. AGC kinase superfamily is selected due to its tremendous structural and functional variability and sequence data availability. A combined data mining and stochastic approach confirmed that out of 47 parameters, transmembrane tendency influences the target variable most, followed by percent buried residues, GRAVY (Grand Average Hydropathicity) and aliphatic index. Calculating the influence of different physicochemical parameters and their interrelation will aid tremendously in the future of protein science.
Page(s): 370-377
CC License:  CC Attribution-Noncommercial-No Derivative Works 2.5 India
ISSN: 0975-0959 (Online); 0301-1208 (Print)
Source:IJBB Vol.47(6) [December 2010]

Files in This Item:

File Description SizeFormat
IJBB 47(6) 370-377.pdf363.28 kBAdobe PDFView/Open
 Current Page Visits: 1265 
Recommend this item


Online Submission of Articles |  NISCAIR Website |  National Knowledge Resources Consortium |  Contact us |  Feedback

Disclaimer: NISCAIR assumes no responsibility for the statements and opinions advanced by contributors. The editorial staff in its work of examining papers received for publication is helped, in an honorary capacity, by many distinguished engineers and scientists.

CC License Except where otherwise noted, the Articles on this site are licensed under Creative Commons License: CC Attribution-Noncommercial-No Derivative Works 2.5 India

Copyright © 2015 The Council of Scientific and Industrial Research, New Delhi. All rights reserved.

Powered by DSpace Copyright © 2002-2007 MIT and Hewlett-Packard | Compliant to OAI-PMH V 2.0

Home Page Total Visits: 133643 since 01-Sep-2015  Last updated on 27-May-2016Webmaster: