Colorful scientific illustration of an enzyme. A complex yellow ribbon structure represents the enzyme's folded protein chains, while green molecular shapes interact with the enzyme's active site. A twisted green strand on the left indicates a substrate or cofactor. Surrounding the enzyme are abstract blue water molecules and bubbles.
Synthetic biology, AI-driven analysis reveal new polymer-targeting enzymes
ORNL researcher Priya Ranjan standing outside in front of brick pillars
Priya Ranjan: Turning massive datasets into real-world insights

Biocomputing and Information

researcher standing in front of a large screen explaining data

 

Computational and Predictive Biology 

Building detailed computational models of biological systems, improving accuracy and statistical power to enable new insights and predict properties and outcomes of biological systems

An organic solvent, shown in yellow, and water, shown in blue, separate and form nanoclusters on the hydrophobic and hydrophilic sections of green-colored plant material, driving the efficient deconstruction of biomass. Credit: Michelle Lehman/ORNL, U.S. Dept. of Energy

 

Information Systems 

Accelerating integration and access to data through technical communications that spans various research areas and encompasses many research audiences

ORNL scientists used molecular dynamics simulations, exascale computing, lab testing and analysis to accelerate the development of an energy-saving method to produce nanocellulosic fibers.

 

Molecular Biophysics 

Determining the functional mechanisms of biologically relevant molecular systems by employing high-performance computer simulations and data-driven predictive modeling