Education

M.Sc. in Bioinformatics, Ch. Charan Singh University, Meerut (INDIA), 2012

Current Position

Bioinformatician, Advanced Center for Computational and Applied Biotechnology, Uttarakhand Council for Biotechnology (UCB), Dehradun-INDIA

Publications

1. Kumar, A., Kumar, S., Kumar, U., Suravajhala, P. and Gajula, MNV. P. (2016). Functional and structural insights into novel DREB1A transcription factors in common wheat (Triticum aestivum L.): A molecular modeling approach. Computational Biology and Chemistry 64: 217-226. 
2. Gahlaut, V., Jaiswal, V., Kumar, A. and Gupta, P. K. (2016). Transcription factors involved in drought tolerance and their possible role in developing drought tolerant cultivars with emphasis on wheat (Triticum aestivum L.). Theor Appl Genet 129(11): 2019-2042.
3. Balyan, H. S., Gahlaut, V., Kumar, A., Jaiswal, V., Dhariwal, R., Tyagi, S., Agarwal, P.,  Pandey, S. and Gupta, P. K. (2016). Nitrogen and Phosphorus Use Efficiencies in Wheat: Physiology, Phenotyping, Genetics and Breeding. Plant Breeding Reviews 40: 167-234.
4. Panchangam, S. S., Vahedi, M., Megha, M. K. J., Kumar, A., Raithatha, K., Suravajhala, P., Reddy, P. V. V. (2016). On Saffron’omics’:  The Challenges of Integrating Omic Technologies.  Avicenna Journal of Phytomedicine 6: 604-620.
5. Laxman, N., Anuj, K., Vimala, Y. and Gajula, MNV. P. (2016). Sequence to Structure Analysis of DOPA Protein from Mucuna pruriens: A Computational Biology Approach. International Journal of Emerging Trends & Technology in Computer Science 2(8): 3083-3089.
6. Kumar, A., Ijaq, J., Singh, K. P. and Suravajhala, P. (2015). Insights into Human Mitochondrial Hypothetical Proteins:  A Computational Structural Biology approach. In: Ortuño, Francisco, Rojas and Ignacio (eds). Proceedings of 3rd International Work-Conference on Bioinformatics and Biomedical Engineering p:93-107, Granada, Spain.
7. Gajula, MNV. P., Steinhoff, H. J., Kumar, A., Ananda Kumar, P., Siddiq,  E. A. Lendzian, F. (2015). Displacement of the Tyrosyl Radical in RNR Enzyme: A Sophisticated Computational Approach to Analyze Experimental Data. Int. Conf. on Bioinformatics and Computational Biology (BICOB–2015) 7: 211-219.
8. Gajula, MNV. P. (2014). Role of Magnetic Resonance methods in modern biology: A computational biology perspective. In: Rao, A. R. (ed). Bioinformatics and Computational Biology 6, Studium Press LLC.
9. Kumar, A., Mishra, D. C., Rai, A., Sharma, M. K. and Gajula, MNV. P. (2013). In silico analysis of protein protein interaction between resistance and virulence protein during leaf rust disease in wheat (Triticum aestivum L.). World Research Journal of Peptide and Protein 2(1): 52-58.