Hierarchical modeling of protein interactions

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Protein interactions play a central role in function and structural organization of cells. Their elucidation is essential for a better understanding of many cellular processes from signal transduction to enzyme inhibition. The aim of this project is to utilize the unprecedented powers of current supercomputers in developing a hierarchical model of protein interactions. The method combines Brownian dynamics at large distances and long time scales with molecular dynamics at small distances and shorter times. Applications to both membrane proteins (blocking of ion channels by toxins and drugs) and globular proteins (ligand binding to receptors and protein association) will be considered.