Prediction of Alzheimer associated proteins (PAAP): a perspective to understand Alzheimer disease for therapeutic design

• DOI: 10.1504/ijbra.2021.117929
• Publication Date: 2021-10-06T11:32:58Z
• Authors: Gaurav Gupta; Neha Gupta; Ankit Gupta; Pankaj Vaidya; Girish Kumar Singh; Varun Jaiswal
• Keywords: DECIPHER; Etiology

Alzheimer disease (AD) is a complex progressive neurodegenerative with no cure and its occurrence rate increased worldwide an increase of human life span. It became the sixth killer in USA vaccines are available for disease. Its unclear aetiology major hurdle therapeutics discovery against it. Discovery proteins/genes associated AD can decipher further vaccine drug targets. Computational methods be used to predict association all possible genes/proteins AD. In current research data known was develop machine learning-based method. High accuracy developed model warrants reliability The method expected help understanding new target candidates it at http://117.242.138.233/cgienabled/index.html.