Computational Simulation of Alzheimer’s Amyloid Fibril Assembly

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Presented by Computational Simulation of Alzheimer’s Amyloid Fibril Assembly Phil LoCascio Pavan Ghattyvenkatakrishna Ed Uberbacher Genome Analysis and Systems Modeling Biosciences Division Research supported by the Department of Energy’s Office of Science Office of Advanced Scientific Computing Research

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Computational Simulation of Alzheimer’s Amyloid Fibril Assembly. Phil LoCascio Pavan Ghattyvenkatakrishna Ed Uberbacher Genome Analysis and Systems Modeling Biosciences Division Research supported by the Department of Energy’s Office of Science Office of Advanced Scientific Computing Research. - PowerPoint PPT Presentation

Transcript of Computational Simulation of Alzheimer’s Amyloid Fibril Assembly

Page 1: Computational Simulation of Alzheimer’s Amyloid Fibril Assembly

Presented by

Computational Simulation of Alzheimer’s Amyloid Fibril Assembly

Phil LoCascioPavan Ghattyvenkatakrishna

Ed UberbacherGenome Analysis and Systems Modeling

Biosciences Division

Research supported by the Department of Energy’s Office of ScienceOffice of Advanced Scientific Computing Research

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Amyloid peptides

Ordered fibrils and plaques

Chain extension

Aggregates

Goal: understanding B-amyloid self-assembly

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Fundamental amyloid assembly questions remain

What interactions and energies drive initial aggregation

How do initial aggregates achieve regular structures

How does chain growth occur

Where are the strategic steps and places where effective drugs could be attached

Assembly questions remain

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Visualize B-aggregate assembly by MD

ORNL research program

Visualize the assembly of amyloid B 40 and 42 to protofibrils: followed by growth

Look at forces that cause aggregation and key steps

Look at process of structure regularization to protofiber

Look at fiber growth mechanisms and potential for growth repression

Contrast assembly in B 40 with B 42

Expect to reach the 100-nanosecond regime for multiple runs

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Initial amyloid folding

Hydrophobic interactions cause the amyloid peptide to fold into a hairpin-like structure in about 1 nanosecond

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Initial amyloid peptide contact

Hydrophobic interactions and hydrogen bonds are formed in initial contact between amyloid peptides

These virtually always keep the peptides from coming apart

The process takes about 5 nanoseconds

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Amyloid aggregation

Hydrophobic interactions and hydrogen bonds are formed in initial contact between amyloid peptides

These virtually always keep the peptides from coming apart

This process takes about 15 nanoseconds

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Preventing fibril assembly in simulation

Drug and natural compounds are being evaluated using their effects on fibril assembly

Ab initio methods are used to build drug structure

Empirical model is placed in standard molecular mechanics code

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Summary

Unique capability to simulate amyloid molecular assemblies

Tools and infrastructure for partnering with other researchers using computational modeling

Advanced computational drug binding studies

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Philip F. LoCascioBiological and Environmental Sciences,Genome Analysis and Systems Modeling(865) [email protected]

Pavan GhattyvenkatakrishnaBiological and Environmental Sciences,Genome Analysis and Systems Modeling(865) [email protected]

Edward C. UberbacherBiological and Environmental Sciences,Genome Analysis and Systems Modeling(865) [email protected]

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Contacts