Exploring Chemical Space to Help Curing Alzheimer’s Disease by Data Analysis in Silico Environment Using Python

This study aims to explore novel compounds that could be used to treat Alzheimer’s disease. It is to uncover possible compounds that could be used to treat Alzheimer’s disease by analyzing and evaluating the Alzheimer-related protein data. Data analysis will be used to investigate in a simulated setting utilizing the Python programming language. The study will be used to analyze the data to produce predictions and suggestions for further testing. Utilizing in silico settings and data analysis tools can speed up the drug development process and make it easier for researchers to find possible treatments. Exploring novel compounds that can be utilized to treat Alzheimer’s disease, a crippling disorder that affects people worldwide, is the research’s ultimate objective.