Technical Proceedings of the 2010 NSTI Nanotechnology Conference & Expo - Nanotech 2010
Technical Proceedings of the 2010 NSTI Nanotechnology Conference & Expo - Nanotech 2010

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3D-RISM-KH approach for biomolecular modeling at nanoscale: Thermodynamics of fibril formation and beyond
Nanotech 2010 Vol. 3

Chapter 7: Nano Medical Sciences

3D-RISM-KH approach for biomolecular modeling at nanoscale: Thermodynamics of fibril formation and beyond

Authors:N. Blinov, L. Dorosh, D. Wishart, A. Kovalenko
Affiliation:University of Alberta/National Institute for Nanotechnology, CA
Pages:436 - 439
Keywords:biomolecular simulations, solvation effects, amyloid fibrils, computer-assisted drug design
Abstract:As an alternative to the conventional solvation models, we propose to use the three-dimensional molecular theory of solvation (3D-RISM-KH approach) as an essential part of a multiscale approach for nanomedical applications. Based on the rigorous statistical-mechanical foundation, this method provides a natural link between different levels of coarse-graining details in the multiscale description of the solvation structure and thermodynamics, from highly localized structural solvent and bound ligand molecules to effective desolvation potentials and self-assembling nanoarchitectures. We apply the 3D-RISM-KH approach to study all stages of formation of fibrillous aggregates and amyloid fibrils. The fibrils are a hallmark of many neurodegenerative diseases, such as Alzheimer’s and Parkinson’s diseases. The formation of amyloid fibrils is a particular example of self-assembly of macromolecules, and as such is governed by general principles of self-assembly. We also show that the 3D-RISM-KH approach is capable of predicting binding sites for the inhibitors of the pathological conversion and aggregation of prion proteins. Using this novel approach for fragment based drug design, we identified the binding modes for this system and demonstrated that the location of the most probable modes are in full agreement with the experimental data.
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