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Title

 

 

 

 

 

PINAT1.0: Protein interaction network analysis tool

 

Authors

 

Sandeep K. Kushwaha*, Madhvi Shakya

Affiliation

 

Department of Bioinformatics, MANIT, Bhopal 462051, India

Email

 

sandeepkushwaha09@manit.net.in

Article Type

 

Web Server

Date

 

Received March 1, 2009; revised April 1, 2009; accepted April 8, 2009; published July 27, 2009

 

Abstract

Cellular processes are regulated by interaction of various proteins i.e. multiprotein complexes and absences of these interactions are often the cause of disorder or disease. Such type of protein interactions are of great interest for drug designing. In host-parasite diseases like Tuberculosis, non-homologous proteins as drug target are first preference. Most potent drug target can be identifying among large number of non-homologous protein through protein interaction network analysis. Drug target should be those non-homologous protein which is associated with maximum number of functional proteins i.e. has highest number of interactants, so that maximum harm can be caused to pathogen only. In present work, Protein Interaction Network Analysis Tool (PINAT) has been developed to identification of potential protein interaction for drug target identification. PINAT is standalone, GUI application software made for protein-protein interaction (PPI) analysis and network building by using co-evolutionary profile. PINAT is very useful for large data PPI study with easiest handling among available softwares. PINAT provides excellent facilities for the assembly of data for network building with visual presentation of the results and interaction score. The software is written in JAVA and provides reliability through transparency with user.

 

Keywords

PINAT, Co-evolution, Drug Target, PPI, Protein interaction network

Citation

Kushwala et al, Bioinformation 3(10): 419-421 (2009)

Edited by

P. Kangueane

 

ISSN

0973-2063

 

Publisher

Biomedical Informatics

License

 

 

This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License.