Dr. Manish Datt

Dr. Manish Datt |Clyto Access

AU-ILS, India

Editorial Board Member

Expertise: Molecular modelling, Docking, Bioinformatics, Software development, Human proteins

Biography:

Dr. Manish Datt has been appointed as an assistant professor at Division of Biological & Life Sciences, Ahmedabad University in April 2015. He did his graduation in biochemistry from University of Delhi (2001) and completed his masters in biotechnology from Punjab University (2004). For the doctoral research he joined Institute of Microbial Technology, Chandigarh, in 2004 to do research in the field of Bioinformatics. After completing his interdisciplinary education in life science and computational science, he moved to Case Western Reserve University, Cleveland, Ohio, USA to acquire post-doctoral training from 2010 to 2012. In 2012 he returned to join as research scientist at the International Center for Genetic Engineering and Biotechnology, New Delhi. Dr. Datt has broad training in life sciences, bioinformatics, and computational biophysics. He has extensive experience in simulating dynamics of macromolecules and their complexes using all-atom molecular mechanic force-fields. He has strong expertise in protein structure analyses and modeling interaction of proteins with other biomolecules. During postdoctoral research he assiduously investigated pharmaceutically important proteins using molecular modeling and docking methods. He has successfully completed project on Hidden Markov Model based genome annotation for identification of potential drug targets in fungal pathogens. In addition, he has developed an algorithmic workflow for annotation of disease-associated mutations in human proteins. He has proficiency in scientific programming and high performance computing under different platforms. Dr. Datt has authored 17 publications in international journals and also has one US patent. Dr. Datt’s research is focused on the application and development of in silico tools for translational therapeutic research. One of the thrust areas of the lab is to understand structure and dynamics of proteins using structural bioinformatics and computational biophysics methods. Development of tools for annotation of disease-associated mutations in human genome is also being pursued in his lab.
 

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