GPCRok
GPCRok is a computational tool designed for the analysis and prediction of G protein-coupled receptor (GPCR) activity. Developed by researchers at the University of [Insert University Name if known, otherwise omit], it leverages machine learning algorithms to identify potential modulators of GPCRs and to predict their binding affinities and functional effects. The tool primarily focuses on the vast and complex landscape of GPCRs, a critical class of cell surface receptors involved in numerous physiological processes.
The core functionality of GPCRok involves analyzing large datasets of chemical compounds and their known interactions
GPCRok's development aims to accelerate drug discovery efforts by reducing the time and cost associated with