Protein-Protein Interaction Detection: Methods and AnalysisReport as inadecuate

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International Journal of Proteomics - Volume 2014 2014, Article ID 147648, 12 pages -

Review Article

Department of CSE, VR Siddhartha Engineering College, Vijayawada 520007, India

Department of CSE, Mahatma Gandhi Institute of Technology, Hyderabad 500075, India

Received 26 October 2013; Revised 5 December 2013; Accepted 20 December 2013; Published 17 February 2014

Academic Editor: Yaoqi Zhou

Copyright © 2014 V. Srinivasa Rao et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Protein-protein interaction plays key role in predicting the protein function of target protein and drug ability of molecules. The majority of genes and proteins realize resulting phenotype functions as a set of interactions. The in vitro and in vivo methods like affinity purification, Y2H yeast 2 hybrid, TAP tandem affinity purification, and so forth have their own limitations like cost, time, and so forth, and the resultant data sets are noisy and have more false positives to annotate the function of drug molecules. Thus, in silico methods which include sequence-based approaches, structure-based approaches, chromosome proximity, gene fusion, in silico 2 hybrid, phylogenetic tree, phylogenetic profile, and gene expression-based approaches were developed. Elucidation of protein interaction networks also contributes greatly to the analysis of signal transduction pathways. Recent developments have also led to the construction of networks having all the protein-protein interactions using computational methods for signaling pathways and protein complex identification in specific diseases.

Author: V. Srinivasa Rao, K. Srinivas, G. N. Sujini, and G. N. Sunand Kumar



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