Dr. Ashwani Sharma

Post-doctoral Fellow
Indian Institute of Technology, India


Highest Degree
Ph.D. in Bioinformatics from Indian Institute of Technology, India

Share this Profile

Biography

Dr. Ashwani Sharma obtained his Ph.D. in Bioinformatics from Indian Institute of Technology, India. His working experience includes worked as Post Doctoral, and Invited Researcher at Ecole Polytechnique (Paris Tech) France, Post Doctoral at Department of Chemistry and Pharmacy, University of Erlangen-Nuremburg and Sanofi-Aventis Pharma Company, Frankfurt, Germany. His area of research interest focuses on Protein Engineering and Design, Protein Structure and Function Prediction, Molecular Dynamics and Modeling, Molecular Docking, Computer added Drug Designing, Clinical Research, Computational Chemistry, Genomics and Proteomics. He has published 20 articles in journals 8 oral presentations and 9 poster presentations in conferences as author/co-author. He co-supervised 4 Masters thesis. He also attended 3 workshops. He was received Certificate of Appreciation as a member of Editorial board of University Magazine, Certificate of merit for participation in Declamation contest, Certificate of participation in three days symposium of Biotechnology organized by Biotechnological Research and Information Society, GGSIPU,Delhi, and Young Scientist Award 2010 with silver medal by International Federation of Information Processing. He is also member of international societies and committees such as International Society of Computational Biology, Executive Committee for opening of Ayur-informatics Research Laboratory, at Centre of Bioinformatics Studies, Dibrugarh University, Assam, India with collaboration of CDAC, Pune, NEIST, Jorhat and RMRC-ICMR, Dibrugarh, and the American Society for Mass Spectrometry (ASMS). He is also serving as reviewer in number of journals.

Area of Interest:

Molecular Sciences
Computational Biology
Protein Engineering
Protein Design
Molecular Dynamics and Modeling

Selected Publications

  1. Sharma, A., I. Chaturvedi, C. Jana and O. Robine, 2014. Drug discovery against unknown function protein Rv2623 from Mycobacterium tuberculosis via molecular docking and dynamics. Int. J. Basic Applied Sci., 2: 130-136.

  2. Sharma, A., G. Ohanessian and C. Clavaguera, 2014. Accuracy of density functionals in the description of dispersion interactions and IR spectra of phosphates and phosphorylated compounds. J. Mol. Model., Vol. 20. 10.1007/s00894-014-2426-y.
    CrossRef  |  

  3. Semrouni, D., A. Sharma, J.P. Dognon, G. Ohanessian and C. Clavaguera, 2014. Finite temperature infrared spectra from polarizable molecular dynamics simulations. J. Chem. Theory Comput., 10: 3190-3199.
    Direct Link  |  

  4. Nigam, A., D. Gupta and A. Sharma, 2014. Treatment of infectious disease: Antibiotics and beyond. Microbiol. Res., 169: 643-651.
    CrossRef  |  Direct Link  |  

  5. Jana, C., I. Chaturvedi, O. Robine, S. Sinha, A. Nigam and A. Sharma, 2014. Finding natural inhibitor for NS3 protease enzyme from dengue virus via molecular modeling. Int. J. Basic Applied Sci., 2: 124-129.

  6. Chaturvedi, I., T.K. Dutta, P.K. Singh, A. Sharma and M. Kumar, 2014. Effect of herbal feed additives on IVDMD, methane and total gas production via in-vitro study. J. Agroecol. Natural Resour. Manage., 1: 108-112.

  7. Chaturvedi, I. and A. Sharma, 2014. Inhibitor prediction against methenyl-tetrahydromethanopterin enzyme from methanobrevibacter ruminantium via molecular docking to mitigate methane emissions. J. Agroecol. Natural Resour. Manage., 1: 113-117.

  8. Sharma, A., K.K. Subbias, O. Robine, I. Chaturvedi and A. Nigam et al., 2012. Computational Finding of Potential Inhibitor for Cytochrome P450 Mono-Oxygenases Enzyme of Mycobacterium tuberculosis. Bioinformation, 8: 931-937.
    CrossRef  |  PubMed  |  Direct Link  |  

  9. Kamath, P. and A. Sharma, 2012. Finding of alternative medicine against herpes simplex virus type-1(HSV-1) via molecular docking. Int. J. Comput. Applic., 5: 5-11.

  10. Sharma, A., A.V. Tendulkar and P.P. Wangikar, 2011. Structure based prediction of functional sites with potential inhibitors to nudix enzymes from disease causing microbes. Bioinformation 5: 341-349.
    PubMed  |  Direct Link  |  

  11. Sharma, A., A.V. Tendulkar and P.P. Wangikar, 2011. Drug discovery against H1N1 virus (influenza A virus) via computational virtual screening approach. Medic. Chem. Res., 20: 1445-1449.
    CrossRef  |  Direct Link  |  

  12. Sharma, A. and P. Malakar, 2011. Comparative modeling and genomics for galactokinase (Gal1p) enzyme. Bioinformation 5: 422-429.
    PubMed  |  Direct Link  |  

  13. Sharma, A. and P. Chaudhary, 2011. Structure modeling and inhibitor prediction of NADP oxidoreductase enzyme from methanobrevibacter smithii. Bioinformation 6: 15-19.
    Direct Link  |  

  14. Scuderi, D., J.M. Bakker, S. Durand, P. Maitre and A. Sharma et al., 2011. Structure of Singly Hydrated, Protonated Phospho-Tyrosine. Int. J. Mass spectrom., 308: 338-347.
    CrossRef  |  Direct Link  |  

  15. Sharma, A. and S. Gokarn, 2010. Drug discovery against sleeping sickness disease via computational virtual screening approach. Proceedings of the International Conference and Workshop on Emerging Trends in Technology, Published in ICWET, ACM, New York, USA, pp: 801-803.
    CrossRef  |  Direct Link  |  

  16. Sharma, A. and P. Malakar, 2010. Structure modeling and comparative genomics for epimerase enzyme (Gal10p). Bioinformation 5: 266-270.
    PubMed  |  Direct Link  |  

  17. Sharma, A. and A. Nigam, 2010. Structure modeling of novel DNA glycosylase enzyme from oral pathogen Streptococcus sanguinis. Bioinformation 5: 136-140.
    PubMed  |  Direct Link  |  

  18. Malakar, P. and A. Sharma, 2010. Structure modeling of transferase (GAL7) protein from S. cerevisiae and K. lactis for regulation of galactose pathway. J. Adv. Bioinf. Appl. Res., 1: 41-49.