In silico analyses of metabolic pathway and protein interaction network for identification of next gen therapeutic targets in Chlamydophila pneumoniae



Bilachi S Ravindranath1*, Venkatappa Krishnamurthy1, Venkatarangaiah Krishna2 & Kahale Bommaiah Lingaiah Vasudevanayaka3



1Department of Biotechnology, PES Institute of Technology (Recognized research centre of Kuvempu University), BSK III Stage, Bangalore - 560085, India; 2Department of Biotechnology and Bioinformatics, Kuvempu University, Shankarghatta -577451, India; 3Bapuji Institute of Engineering & Technology, Dept of Biotechnology, Davanagere-577004


Email; *Corresponding author


Article Type




Received May 25, 2013; Revised June 03, 2013; Accepted June 07, 2013; Published July 12, 2013



Chlamydophila pneumoniae, the causative agent of chronic obstructive pulmonary disease (COPD), is presently the fifth mortality causing chronic disease in the world. The understanding of disease and treatment options are limited represents a severe concern and a need for better therapeutics. With the advancements in the field of complete genome sequencing and computational approaches development have lead to metabolic pathway analysis and protein-protein interaction network which provides vital evidence to the protein function and has been appropriate to the fields such as systems biology and drug discovery. Protein interaction network analysis allows us to predict the most potential drug targets among large number of the non-homologous proteins involved in the unique metabolic pathway. A computational comparative metabolic pathway analysis of the host H. sapiens and the pathogen C pneumoniae AR39 has been carried out at three level analyses. Firstly, metabolic pathway analysis was performed to identify unique metabolic pathways and non-homologous proteins were identified. Secondly, essentiality of the proteins was checked, where these proteins contribute to the growth and survival of the organism. Finally these proteins were further subjected to predict protein interaction networks. Among the total 65 pathways in the C pneumoniae AR39 genome 10 were identified as the unique metabolic pathways which were not found in the human host, 32 enzymes were predicted as essential and these proteins were considered for protein interaction analysis, later using various criteria’s we have narrowed down to prioritize ribonucleotide-diphosphate reductase subunit beta as a potential drug target which facilitate for the successful entry into drug designing. 



Chlamydophila pneumoniae, COPD, computational approaches, metabolic pathway analysis, Protein interaction network analysis.



Ravindranath et al. Bioinformation 9(12): 605-609 (2013)






Biomedical Informatics



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