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Copyright © 2014 | AIZEON publishers | All rights reserved

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International Journal of Computational Bioinformatics and In Silico Modeling
2014: Volume-3 Issue-3
ISSN: 2320-0634

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ABSTRACT   REFERENCES  
International Journal of Computational Bioinformatics and In Silico Modeling 3(3) 2014: 374-380

In silico analysis show incidence of very virulent Marek’s Disease Virus (MDV)



G. Sathish1, Kurunchi C.Divya2, M.Parthiban1* and A. Wilson Aruni3

1 Department of Animal Biotechnology, Madras Veterinary College, Tamil Nadu Veterinary and Animal Sciences University, Chennai, Tamil Nadu, INDIA
2 Department of Biotechnology, Faculty of Allied Health Sciences, Chettinadu Academy of Research and Education, Chennai, Tamil Nadu, INDIA
3 Division of Microbiology and Molecular Genetics, School of Medicine, Loma Linda University, CA-92354 , USA

* Corresponding Author

ABSTRACT

The phylogenetic analysis indicated that Tamil Nadu isolates of Marek’s disease viruses formed a cluster with very virulent MDV strains. Multiple sequence alignment of amino acid sequences of Meq protein showed variation among the Tamil Nadu isolates at position 71st (threonine instead of isoleucine) and was found to be important for transactivation of the Meq promoter. Due to the non-availability of Meq protein structure in protein databases, In silico modeling of the Meq protein of Tamil Nadu strain , RB-1B (vvMEQ), 648A (vv+MEQ) strains was successfully carried out using the Modeller9.10 software. The generated models were evaluated using PROSA, PROCHECK, PROMOTIF. Ramachandran plot analysis, z-score statistical analysis and energy distribution of protein structure models were enumerated. The amino acid variations in modeled structures as motif may be useful to evaluate epitope vaccines to protect oncogenic MDV.


Copyright © 2014 | AIZEON publishers | All rights reserved

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Citation: G. Sathish et. al. (2014). In silico analysis show incidence of very virulent Marek’s Disease Virus (MDV). Int J Comput Bioinfo In Silico Model 3(3): 374-380

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