A computational and in silico study of machine learning-assisted design of boron and selenium compounds against Alzheimer's disease targets
Alzheimer's disease (AD) is the most common neurodegenerative disease worldwide with over 55 million people affected and projected to reach more than 130 million by 2050. Although substantial research is underway, FDA approved therapies are palliative only. In this work, we employed machine learning (ML) algorithms, in...