Department of Biotechnology | Indian Institute Of Technology Madras , Chennai
team

M Michael Gromiha

Professor

Ph.D., Bharathidasan University

M.Sc., Madurai Kamaraj University

Block 1, BT 105

044 2257 4138

gromiha[at]iitm[.]ac[.]in

Lab: Block 1, BT 516

Lab: 044 2257 5128

Lab Website
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  • Binding affinity of protein-protein, protein-DNA, protein-RNA and protein-carbohydrate complexes
  • Hotspot residues and disease causing mutations in proteins
  • Stability of globular and membrane proteins
  • Structure based drug design
  • Development of databases and computational tools

  1. M. Michael Gromiha and K. Harini (2025). "Protein-nucleic acid complexes: docking and binding affinity. ", Curr. Opin. Str. Biol., 90, pp. 102955, DOI: 10.1016/j.sbi.2024.102955.
  2. Krishnan, S.R., Roy, A., Michael Gromiha, M. (2024). "Reliable method for predicting the binding affinity of RNA-small molecule interactions using machine learning", Briefings in Bioinformatics, 25, pp. 2, DOI: 10.1093/bib/bbae002.
  3. Ridha, F., Gromiha, M.M. (2024). "MPA-Pred: A machine learning approach for predicting the binding affinity of membrane protein–protein complexes", Proteins: Structure, Function and Bioinformatics, 92(4), pp. pp. 499–508, DOI: 10.1002/prot.26633.
  4. Shanmugam, N.R.S., Kulandaisamy, A., Veluraja, K., Gromiha, M.M. (2024). "CarbDisMut: database on neutral and disease-causing mutations in human carbohydrate-binding proteins", Glycobiology, 34(4), DOI: 10.1093/glycob/cwae011.
  5. Nikam, R., Jemimah, S., Gromiha, M.M. (2024). "DeepPPAPredMut: deep ensemble method for predicting the binding affinity change in protein–protein complexes upon mutation", Bioinformatics, 40(5), pp. btae309, DOI: 10.1093/bioinformatics/btae309.