2017 Student Research Conference:
30th Annual Student Research Conference

Computational analysis of Amyloid Beta aggregation inhibitors in combating Alzheimer's Disease.

Dominic S. Mattock
Dr. Bill R. Miller, Faculty Mentor

Alzheimer's disease is the current leading form of dementia, constituting 60%-80% of cases of dementia. Alzheimer's disease is a primarily late onset disease which worsens over time. This increasing severity is a result of aggregation of amyloid b peptides resulting in the formation of plaques in the brain. A potential method of treatment for Alzheimer's consists of prevention and destabilization of amyloid b fibrils using biflavanoid molecules. Molecular Dynamics (MD), a computer-based method for simulating time-course molecular interactions based on Newtonian physics, can be used to simulate amyloid b peptides under biological conditions in the presence of the biflavanoid inhibitors in order to characterize key protein-drug interactions. Two potential AD drugs, Sciadopitysin and Sequoiaflavon, were modeled using MD and the interactions between the drugs and the amyloid b peptides were observed. 

Keywords: Alzheimer's Disease, Computational Chemistry, Amyloid Beta


Presentation Type: Oral Paper

Session: 203-4
Location: MG 1096
Time: 10:15

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