Computational studies of GPCRs
Title: Computational studies of GPCRs
SNIC Project: SNIC 2020/2-20
Project Type: SNIC Large Storage
Principal Investigator: Jens Carlsson <jens.carlsson.lab@gmail.com>
Affiliation: Uppsala universitet
Duration: 2020-07-01 – 2021-01-01
Classification: 10601 10407 30103
Homepage: http://www.carlssonlab.org/
Keywords:

Abstract

This is a large storage extension to the ongoing large compute project SNIC 2019/2-16. Our research focuses on computational studies of G protein-coupled receptors (GPCRs), which constitute the largest family of eukaryotic membrane proteins and are involved in essential physiological processes. GPCRs are also important therapeutic targets targets and >30% of all drugs mediate their effect by modulating members of this family. Our goals are to improve understanding of GPCR-ligand interactions at the atomic level using simulations and develop new strategies for structure-based drug discovery. By combining protein structure prediction, molecular docking screening, and free energy calculations, we design ligands to therapeutic targets and test these experimentally to identify lead candidates. Using molecular dynamics (MD) simulations, we gain detailed understanding of how neurotransmitters interact with GPCRs and modulate their function. All our projects are driven by computational chemistry and carried out in collaboration with leading experimentalists in the field. Our current research is funded by VR, ERC, and KAW project grants. In 2020, we will focus on discovery of allosteric modulators of GPCRs, understanding the molecular basis of signalling, the evolution of ligand specificity, and development of novel methods for structure-based drug discovery.