Prediction of new causing proteins for Alzheimer’s, Parkinson’s, and Huntington’s diseases: Protein- Protein Interaction Analysis

neurodegenerative diseases, including Alzheimer’s disease, Parkinson’s disease, and Huntington’s disease, result in the dysfunction or death of cells within the central nervous system. These Neurodegenerative diseases can be diagnosed but not predicted at their early stages, as prediction is only applicable before the diseases manifest themselves. Evolutionary and Protein-Protein interaction analysis plays a vital role in identifying new-causing proteins and their functionalities in these chronic diseases directly or indirectly. The primary objective of this paper is to discover newly associated proteins that contribute to the development of these neurodegenerative diseases collectively. This framework consists of two modules. The primary module includes applying evolutionary analysis to identify the top proteins of neurodegenerative diseases. The secondary module includes the implementation of the Protein-Protein interaction (PPI) analysis to find a relation among the identified proteins by building a PPI network. This study reveals that APP, PSEN1, MAPT, GIG25, PINK1, PARK7, SNCA, HTT, HIP1, and HAP1 are the proteins having a relation directly and indirectly among Alzheimer’s, Parkinson’s, and Huntington’s diseases.