Research Program and Theme
- Program: Cancer Technology and Data Science
- Theme: Computational Engineering and Data Science
Research Focus
Diwakar Shukla’s research group develops and employs computational chemistry approaches to decipher the mechanisms of regulation of protein function, which play a critical role in governing cellular and organismal behavior. Shukla’s group develops computational and theoretical methods to enable the investigation of long-timescale processes associated with the regulation of biological systems. Their research is addressing fundamental questions about the three critical modes of regulation in the field of regulatory molecular biology, especially in regards to membrane proteins, and developing methods to enable the computational investigation of these systems in atomistic detail.
Learn more about Diwakar Shukla’s lab.
Other Campus Affiliations
- Associate Professor, Bioengineering
- Affiliate, Chemistry
- Associate Professor, Center for Digital Agriculture, National Center for Supercomputing Applications
- Associate Professor, National Center for Supercomputing Applications
- Associate Professor, Beckman Institute for Advanced Science and Technology
- Affiliate, Carl R. Woese Institute for Genomic Biology