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Title

Identification of hub proteins from sequence

 

Authors

Aswathi Balakrishnan Latha1*, Achuthsankar Sukumaran Nair2, Athmaja Sivasankaran3, Pawan Kumar Dhar4

 

Affiliation

1Centre for Bioinformatics, University of Kerala, Trivandrum 695581, India; 2Centre for Bioinformatics, University of Kerala, Trivandrum 695581, India;3Christ University, Bangalore;4 Centre for Systems and Synthetic Biology, University of Kerala, Trivandrum 695581, India

 

Email

sankar.achuth@gmail.com; *Corresponding author

 

Phone

+91-471-2308759

 

Article Type

Hypothesis

 

Date

Received September 14, 2011; Accepted September 28, 2011; Published October 14, 2011

 

Abstract

Identification of hub proteins from sequence is a challenge in molecular biology. Therefore, it is of interest to predict protein hubs in networks. We describe the prediction of protein "hub" using physiochemical, thermodynamic and conformational properties of amino acid residues in sequence. We have used twenty sequence based features to identify hub behaviour. Linear discriminant analysis and normalised Bayesian approach were utilized for identifying hub proteins solely using these sequence features in E. coli/H. sapiens datasets with accuracies of 99.5/98.6, 87.8/89.6 and 90.1/92.6, respectively.

 

Citation

Latha et al. Bioinformation 7(4): 163-168 (2011)
 

Edited by

P Kangueane

 

ISSN

0973-2063

 

Publisher

Biomedical Informatics

 

License

This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License.