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Title
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PINAT1.0: Protein interaction network analysis tool
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Authors
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Sandeep K. Kushwaha*, Madhvi Shakya | |
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Affiliation
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Department of Bioinformatics, MANIT, Bhopal 462051, India | |
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Article Type
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Web Server | |
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Date
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Received March 1, 2009; revised April 1, 2009; accepted April 8, 2009; published July 27, 2009
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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.
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Keywords |
PINAT, Co-evolution, Drug Target, PPI, Protein interaction network | |
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Citation |
Kushwala et al, Bioinformation 3(10): 419-421 (2009) | |
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Edited by |
P. Kangueane
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ISSN |
0973-2063
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Publisher |
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Copyright |
Publisher
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Copyright Transfer Agreement
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The authors of published articles in Bioinformation automatically transfer the copyright to the publisher upon formal acceptance. However, the authors reserve right to use the information contained in the article for non commercial purposes.
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License
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This is an open-access article, which permits unrestricted use, distribution, and reproduction in any medium, for non-commercial purposes, provided the original author and source are credited.
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