Identification of hub proteins from sequence

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 hav...

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Detalles Bibliográficos
Autores principales: Latha, Aswathi Balakrishnan, Nair, Achuthsankar Sukumaran, Sivasankaran, Athmaja, Dhar, Pawan Kumar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Biomedical Informatics 2011
Materias:
Hypothesis
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3218517/
https://www.ncbi.nlm.nih.gov/pubmed/22102772
Descripción
Sumario: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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