class b gpcr
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2021 ◽  
Vol 2021 (3) ◽  
Author(s):  
Demet Arac-Ozkan ◽  
Gabriela Aust ◽  
Tom I. Bonner ◽  
Heike Cappallo-Obermann ◽  
Caroline Formstone ◽  
...  

Adhesion GPCRs are structurally identified on the basis of a large extracellular region, similar to the Class B GPCR, but which is linked to the 7TM region by a GPCR autoproteolysis-inducing (GAIN) domain [9] containing a GPCR proteolytic site. The N-terminus often shares structural homology with adhesive domains (e.g. cadherins, immunolobulin, lectins) facilitating inter- and matricellular interactions and leading to the term adhesion GPCR [101, 403]. Several receptors have been suggested to function as mechanosensors [309, 280, 383, 35]. The nomenclature of these receptors was revised in 2015 as recommended by NC-IUPHAR and the Adhesion GPCR Consortium [122].


2021 ◽  
Vol 35 (S1) ◽  
Author(s):  
Ieva Sutkeviciute ◽  
Ji‐Young Lee ◽  
Alex White ◽  
Pemra Doruker ◽  
Karina Peña ◽  
...  
Keyword(s):  
Class B ◽  

2021 ◽  
Vol 8 ◽  
Author(s):  
Chenyi Liao ◽  
Jacob M. Remington ◽  
Victor May ◽  
Jianing Li

The related neuropeptides PACAP and VIP, and their shared PAC1, VPAC1 and VPAC2 receptors, regulate a large array of physiological activities in the central and peripheral nervous systems. However, the lack of comparative and molecular mechanistic investigations hinder further understanding of their preferred binding selectivity and function. PACAP and VIP have comparable affinity at the VPAC1 and VPAC2 receptor, but PACAP is 400–1,000 fold more potent than VIP at the PAC1 receptor. A molecular understanding of the differing neuropeptide-receptor interactions and the details underlying the receptor transitions leading to receptor activation are much needed for the rational design of selective ligands. To these ends, we have combined structural information and advanced simulation techniques to study PACAP/VIP binding selectivity, full-length receptor conformation ensembles and transitions of the PACAP/VIP receptor variants and subtypes, and a few key interactions in the orthosteric-binding pocket. Our results reveal differential peptide-receptor interactions (at the atomistic detail) important for PAC1, VPAC1 and VPAC2 receptor ligand selectivity. Using microsecond-long molecular dynamics simulations and the Markov State Models, we have also identified diverse receptor conformational ensembles and microstate transition paths for each receptor, the potential mechanisms underlying receptor open and closed states, and the interactions and dynamics at the transmembrane orthosteric pocket for receptor activation. These analyses reveal important features in class B GPCR structure-dynamics-function relationships, which provide novel insights for structure-based drug discovery.


Structure ◽  
2020 ◽  
Vol 28 (3) ◽  
pp. 277-279 ◽  
Author(s):  
Brian Krumm ◽  
Bryan L. Roth
Keyword(s):  
Class B ◽  

2020 ◽  
Vol 3 (2) ◽  
pp. 246-262 ◽  
Author(s):  
Michael L. Garelja ◽  
Maggie Au ◽  
Margaret A. Brimble ◽  
Joseph J. Gingell ◽  
Erica R. Hendrikse ◽  
...  

2020 ◽  
Vol 77 (3) ◽  
pp. 656-668.e5 ◽  
Author(s):  
Yi-Lynn Liang ◽  
Matthew J. Belousoff ◽  
Peishen Zhao ◽  
Cassandra Koole ◽  
Madeleine M. Fletcher ◽  
...  
Keyword(s):  
Class B ◽  

2019 ◽  
Vol 2019 (4) ◽  
Author(s):  
Demet Arac-Ozkan ◽  
Gabriela Aust ◽  
Tom I. Bonner ◽  
Heike Cappallo-Obermann ◽  
Caroline Formstone ◽  
...  

Adhesion GPCRs are structurally identified on the basis of a large extracellular region, similar to the Class B GPCR, but which is linked to the 7TM region by a GPCR autoproteolysis-inducing (GAIN) domain [8] containing a GPCR proteolytic site. The N-terminus often shares structural homology with adhesive domains (e.g. cadherins, immunolobulin, lectins) facilitating inter- and matricellular interactions and leading to the term adhesion GPCR [82, 332]. Several receptors have been suggested to function as mechanosensors [254, 234, 315, 32]. The nomenclature of these receptors was revised in 2015 as recommended by NC-IUPHAR and the Adhesion GPCR Consortium [100].


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