Prediction of G-protein Coupled Receptors using Deep Learning: A Review

Abstract

The biggest super classes of the membrane proteins are G-protein coupled receptors as well as GPCRs are very significant for drug design goals. GPCRs are sometimes known as heptahelical receptor as well as seven-transmembrane receptor. GPCRs are accountable for several physicochemical and biological activities like cellular growth, neurotransmission, smell as well as vision. This paper presents a review related to current approaches to predict GPCRs. Extensive research on GPCRs have progressed to novel discoveries that open undiscovered and promising drug design opportunities and efficient drug-targeting Gprotein coupled receptors therapies. This paper concentrates primarily on the process of deep learning to