2017
DOI: 10.1038/nature23448
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Structural insights into ligand recognition by the lysophosphatidic acid receptor LPA6

Abstract: Lysophosphatidic acid (LPA) is a bioactive lipid composed of a phosphate group, a glycerol backbone, and a single acyl chain that varies in length and saturation. LPA activates six class A G-protein-coupled receptors to provoke various cellular reactions. Because LPA signalling has been implicated in cancer and fibrosis, the LPA receptors are regarded as promising drug targets. The six LPA receptors are subdivided into the endothelial differentiation gene (EDG) family (LPA-LPA) and the phylogenetically distant… Show more

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Cited by 114 publications
(124 citation statements)
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“…Alkyl chain packing and disorder is of continued interest across a range of fields, including biology where disorder may have an impact on ligand recognition processes in lipid bilayers, self‐assembly of liquid‐crystal materials, crystal engineering, and packing density in multilamellar liposomes . Understanding structural chemistry of biological membrane lipid bilayers is challenged by the difficulty of crystallising such systems, and there is an ongoing demand for spectroscopic approaches, such as solution nuclear magnetic resonance (NMR) and vibrational spectroscopy, for studying bilayer systems that are difficult or impossible to crystallise.…”
Section: Introductionmentioning
confidence: 99%
“…Alkyl chain packing and disorder is of continued interest across a range of fields, including biology where disorder may have an impact on ligand recognition processes in lipid bilayers, self‐assembly of liquid‐crystal materials, crystal engineering, and packing density in multilamellar liposomes . Understanding structural chemistry of biological membrane lipid bilayers is challenged by the difficulty of crystallising such systems, and there is an ongoing demand for spectroscopic approaches, such as solution nuclear magnetic resonance (NMR) and vibrational spectroscopy, for studying bilayer systems that are difficult or impossible to crystallise.…”
Section: Introductionmentioning
confidence: 99%
“…Thus, a drug discovery effort aimed at the development of LPA 2 GPCR-specific agonists was launched. Subsequent to the computational modeling of the EDG family GPCRs (6,7,9,10,32), several crystal structures of LPA and S1P GPCRs have been solved (24,(33)(34)(35). The validated computational models and the crystal structures now provide a robust modeling platform for virtual high-throughput-guided LPA GPCR ligand discovery.…”
Section: Virtual High-throughput Screening-guided Drug Design Of Lpa mentioning
confidence: 99%
“…We decided to use the active and inactive state homology models of CysLTR2 from the GPCRdb 34 , which are based on structural templates from the structures of the C-C chemokine receptor 5 (CCR5) for the inactive state 35 and the lysophosphatidic acid receptor 6 (LPA6) for the active state 36 . We introduced the L129Q 3.43 mutation with the Rosetta software to optimize the resulting models by local side-chain repacking and constrained energy minimization, and to predict the difference in free energies ΔΔG of the wild-type and mutant structures 37 .…”
Section: [Fig 3]mentioning
confidence: 99%