Publication Date

Fall 2023

Degree Type

Master's Project

Degree Name

Master of Science in Bioinformatics (MSBI)


Computer Science

First Advisor

Leonard Wesley

Second Advisor

William Andreopoulos

Third Advisor

Cleber Ouverney


Alzheimer’s Disease, Mild Cognitive Impairment, Epigenetics, Modeller, SNP


In the population of adult human patients who over express Beta and Tau Amyloids, it is unclear why 40% of them do not have Alzheimer’s Disease (AD), when all patients with AD have an overexpression of Beta and Tau Amyloids. The MCI-AD-DTI project’s epigenetic pipeline is an evolving computation tool that seeks epigenetic-related information related to the observed disparity. The MCI-AD-DTI’s epigenetic pipeline’s ability to identify mutations currently relies solely on PyPDB for verification of its protein functionality evaluation. The assessment process of the industry standard application, Modeller10.4, is independent from the current epigenetic pipeline’s protein evaluation algorithm. Thus, this project concludes that integrating Modeller10.4, with its protein modeling, would contribute through an increase in the ability to distinguish between which Single Nucleotide Polymorphic (SNP) mutations change functionality.