From three-dimensional GPCR structure to rational ligand discovery
Research output: Chapter in Book/Report/Conference proceeding › Book chapter › Research › peer-review
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From three-dimensional GPCR structure to rational ligand discovery. / Kooistra, Albert J.; Leurs, Rob; De Esch, Iwan J.P.; Graaf, Chris De.
G Protein-Coupled Receptors - Modeling and Simulation. Springer New York LLC, 2014. p. 129-157 (Advances in Experimental Medicine and Biology, Vol. 796).Research output: Chapter in Book/Report/Conference proceeding › Book chapter › Research › peer-review
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TY - CHAP
T1 - From three-dimensional GPCR structure to rational ligand discovery
AU - Kooistra, Albert J.
AU - Leurs, Rob
AU - De Esch, Iwan J.P.
AU - Graaf, Chris De
PY - 2014/1/1
Y1 - 2014/1/1
N2 - This chapter will focus on G protein-coupled receptor structure-based virtual screening and ligand design. A generic virtual screening workflow and its individual elements will be introduced, covering amongst others the use of experimental data to steer the virtual screening process, ligand binding mode prediction, virtual screening for novel ligands, and rational structure-based virtual screening hit optimization. An overview of recent successful structure-based ligand discovery and design studies shows that receptor models, despite structural inaccuracies, can be efficiently used to find novel ligands for GPCRs. Moreover, the recently solved GPCR crystal structures have further increased the opportunities in structure-based ligand discovery for this pharmaceutically important protein family. The current chapter will discuss several challenges in rational ligand discovery based on GPCR structures including: (i) structure-based identification of ligands with specific effects on GPCR mediated signaling pathways, and (ii) virtual screening and structure-based optimization of fragment-like molecules.
AB - This chapter will focus on G protein-coupled receptor structure-based virtual screening and ligand design. A generic virtual screening workflow and its individual elements will be introduced, covering amongst others the use of experimental data to steer the virtual screening process, ligand binding mode prediction, virtual screening for novel ligands, and rational structure-based virtual screening hit optimization. An overview of recent successful structure-based ligand discovery and design studies shows that receptor models, despite structural inaccuracies, can be efficiently used to find novel ligands for GPCRs. Moreover, the recently solved GPCR crystal structures have further increased the opportunities in structure-based ligand discovery for this pharmaceutically important protein family. The current chapter will discuss several challenges in rational ligand discovery based on GPCR structures including: (i) structure-based identification of ligands with specific effects on GPCR mediated signaling pathways, and (ii) virtual screening and structure-based optimization of fragment-like molecules.
KW - Crystal structures
KW - Docking
KW - Drug design
KW - In silico methods
KW - Virtual screening
UR - http://www.scopus.com/inward/record.url?scp=84959220970&partnerID=8YFLogxK
U2 - 10.1007/978-94-007-7423-0_7
DO - 10.1007/978-94-007-7423-0_7
M3 - Book chapter
C2 - 24158804
SN - 9789400774223
T3 - Advances in Experimental Medicine and Biology
SP - 129
EP - 157
BT - G Protein-Coupled Receptors - Modeling and Simulation
PB - Springer New York LLC
ER -
ID: 199353344