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Title |
Identification of hub proteins from sequence |
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Authors |
Aswathi Balakrishnan Latha1*, Achuthsankar Sukumaran Nair2, Athmaja Sivasankaran3, Pawan Kumar Dhar4 |
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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
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sankar.achuth@gmail.com; *Corresponding author
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Phone |
+91-471-2308759
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Article Type |
Hypothesis
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Date |
Received September 14, 2011; Accepted September 28, 2011; Published October 14, 2011
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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.
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Citation |
Latha et al.
Bioinformation 7(4): 163-168 (2011) |
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Edited by |
P Kangueane
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ISSN |
0973-2063
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Publisher |
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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. |