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Identification of hub proteins from sequence.

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.

SUBMITTER: Latha AB

PROVIDER: S-EPMC3218517 | biostudies-literature | 2011

REPOSITORIES: biostudies-literature

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Identification of hub proteins from sequence.

Latha Aswathi Balakrishnan AB Nair Achuthsankar Sukumaran AS Sivasankaran Athmaja A Dhar Pawan Kumar PK

Bioinformation 20111014 4

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 fe ...[more]

PMID: 22102772

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