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Identification of hub proteins from sequence
Authors:Latha Aswathi Balakrishnan  Nair Achuthsankar Sukumaran  Sivasankaran Athmaja  Dhar Pawan Kumar
Institution:1Centre for Bioinformatics, University of Kerala, Trivandrum 695581, India;2Centre for Bioinformatics, University of Kerala, Trivandrum 695581, India;3Christ University, Bangalore;4Centre for Systems and Synthetic Biology, University of Kerala, Trivandrum 695581, India
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.
Keywords:
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