The FRODA (Framework Rigidity Optimized Dynamics Algorithm)
software was developed by researchers at Arizona State University for analyzing
conformations of proteins and other biomolecules.
This software uses novel algorithms that are optimized to
rapidly determine conformational changes in macromolecules, especially proteins.
Knowledge of the conformational changes in a molecule is important for
understanding the function of the molecule. A key example is the case of
protein-ligand binding. For example, this software can lead to a better
understanding of the conformational change in a deleterious enzyme when it binds
to a substrate or another molecule. Having this knowledge, it may be easier to
design a non-natural ligand to block the action of this enzyme.
This software in particular is faster than competing
technologies (in the general category of "molecular dynamics"), allowing many
more protein-ligand interactions to be probed in a given time.
Potential Applications
- Pharmaceutical research (e.g., searching for possible
ligands to inactivate HIV protease)
- Understanding cellular metabolism
- Cancer and autoimmune disease research
Benefits and Advantages
- Novel algorithms are faster than competing software
products
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