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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
Hydrophobicity
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]
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