A modified bat algorithm to predict Protein-Protein Interaction network

Author

Chowdhury, Abishi ; Rakshit, Pratyusha ; Konar, Amit ; Nagar, Atulya K.

Author_Institution

Dept. of Electron. & Telecommun. Eng., Jadavpur Univ., Kolkata, India

fYear

2014

fDate

6-11 July 2014

Firstpage

1046

Lastpage

1053

Abstract

This paper provides a novel approach to predict the Protein-Protein Interaction (PPI) network using a modified version of the Bat Algorithm. The attractive trait of the proposed approach is that it attempts to analyze the impact of physicochemical properties, structural features and evolutionary relationship of proteins, to predict the PPI network. Computer simulations reveal that our proposed method effectively predicts the PPI of Saccharomyces Cerevisiae with a sensitivity of (0.85) and specificity of (0.87) and outperforms other state-of-art methodologies.

Keywords

biochemistry; biology computing; microorganisms; molecular biophysics; molecular configurations; proteins; PPI network; Saccharomyces cerevisiae; evolutionary relationship; modified bat algorithm; physicochemical properties; protein-protein interaction network; structural features; Accuracy; Barium; Classification algorithms; Phylogeny; Prediction algorithms; Proteins; Sensitivity; accessible solvent area; bat algorithm; domains; phylogenetic profiles; protein-protein interaction networks;

fLanguage

English

Publisher

ieee

Conference_Titel

Evolutionary Computation (CEC), 2014 IEEE Congress on

Conference_Location

Beijing

Print_ISBN

978-1-4799-6626-4

Type

conf

DOI

10.1109/CEC.2014.6900518

Filename

6900518