q-bio.OT

Predictive Modeling of Natural Medicinal Compounds for Alzheimer Disease Using Cheminformatics

This study develops a machine learning model using molecular descriptors to screen over 7,000 natural compounds for potential anti-Alzheimer activity, identifying 73 promising candidates. The cheminformatics approach demonstrates moderate predictive performance and highlights key molecular features associated with therapeutic potential.