NIH R01 · 2024
DMS/NIGMS 2: Statistical Network Models for Protein Aggregation
This project centers on the development of statistical network models for understanding the formation of protein aggregates associated with disease states as well as critical biological processes. Systems of this type include amyloid fibrils and toxic oligomers, amorphous protein aggregates, and the large, dynamic complexes formed by small heat shock proteins. Our work combines modeling techniques from the mathematical social sciences with theoretical and experimental methods from biophysical chemistry, enabling us to approach biological problems in novel ways. Our technical innovations are focused on Hamiltonian-driven network models, extending methods originally developed for social…
From the public funding record at NIH RePORTER. Describes the funded project, not the reviews below.