Teaching, Guidance, Research
Indian Institute of Technology Madras
M Michael Gromiha received his PhD in Physics from Bharathidasan University, India and served as STA fellow, RIKEN Researcher, Research Scientist and Senior Scientist at Computational Biology Research Center, AIST, Japan, till 2010. Currently, he is working as a Professor at Indian Institute of Technology (IIT) Madras, India. His main research interests are structural analysis, prediction, folding and stability of globular and membrane proteins, protein interactions and development of bioinformatics databases and tools. He has published over 200 research articles, 40 reviews, five editorials and a book on Protein Bioinformatics: From Sequence to Function by Elsevier/Academic Press. His papers received more than 10.000 citations and h-index is 55. He is an Associate Editor of BMC Bioinformatics as well as Editorial Board Member of Scientific Reports, Biology Direct, Journal of Bioinformatics and Computational Biology and Current Computer Aided Drug design.
He has received several awards including Oxford University Press Bioinformatics prize, Okawa Science Foundation Research Grant, Young Scientist Travel awards from ISMB, JSPS, AMBO, ICTP etc., Best paper award at ICIC2011, ICTP Associateship award, ICMR International fellowship for Senior Biomedical Scientists, INSA senior scientist award, Best paper award in Bioinformatics by Department of Biotechnology, India, Institute Research and Development Award at IIT Madras and Outstanding Performance award from Initiative for Parallel Bioinformatics (IPAB), Tokyo Institute of Technology, Japan. He is a member of the National Academy of Sciences, India.
Research interests of relevance to the project
- Next generation sequence analysis
- Deep learning
- Disease causing mutations
- Protein structure and function
- Databases and web servers
Field of Expertise
- Computational Biology
- S. Akila Parvathy Dharshini, Y-h. Taguchi and M. Michael Gromiha* (2019) Exploring the selective vulnerability in Alzheimer disease using tissue specific variant analysis. Genomics. 2019 (in press)
- A. Kulandaisamy, S. Binny Priya, R. Sakthivel, S. Tarnovskaya, I. Bizin, P. Hönigschmid, D. Frishman and Gromiha MM* (2018) MutHTP: Mutations in Human Transmembrane Proteins. Bioinformatics 34(13):2325-2326
- P. Rawat P, S. Kumar S and M. Michael Gromiha* (2018). An in-silico method for identifying aggregation rate enhancer and mitigator mutations in proteins. Int J Biol Macromol. 118 (Pt A):1157-1167.
- P. Anoosha, L-T. Huang, R. Sakthivel, D. Karunagaran and M. Michael Gromiha* (2015). Discrimination of Driver and Passenger Mutations in Epidermal Growth Factor Receptor in Cancer. Mutation Res. 780: 24-34
- M. Michael Gromiha* and S. Selvaraj (2001). Comparison between Long-range Interactions and Contact Order in Determining the Folding Rate of Two-state Proteins: Application of Long Range Order to Folding Rate Prediction. J. Mol. Biol. 310, 27-32
Department of Biotechnology
Tamil Nadu, India