Title:	Protein structure prediction and AI in virtual screening
DNr:	Berzelius-2024-265
Project Type:	LiU Berzelius
Principal Investigator:	Jens Carlsson <jens.carlsson.lab@gmail.com>
Affiliation:	Uppsala universitet
Duration:	2024-08-01 – 2025-02-01
Classification:	10601
Homepage:	http://www.carlssonlab.org/
Keywords:

Abstract

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 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, free energy simulations and artificial intelligence, we design ligands to therapeutic targets and test these experimentally to identify lead candidates. All our projects are driven by computational chemistry and carried out in collaboration with experimental groups.