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dc.contributor.authorWang, Jinan
dc.contributor.authorMiao, Yinglong
dc.date.accessioned2020-03-26T20:46:48Z
dc.date.available2020-03-26T20:46:48Z
dc.date.issued2019-01-03
dc.identifier.citationWang, J., & Miao, Y. (2019). Recent advances in computational studies of GPCR-G protein interactions. Advances in protein chemistry and structural biology, 116, 397–419. https://doi.org/10.1016/bs.apcsb.2018.11.011en_US
dc.identifier.urihttp://hdl.handle.net/1808/30193
dc.descriptionThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.en_US
dc.description.abstractProtein-protein interactions are key in cellular signaling. G protein-coupled receptors (GPCRs), the largest superfamily of human membrane proteins, are able to transduce extracellular signals (e.g., hormones and neurotransmitters) to intracellular proteins, in particular the G proteins. Since GPCRs serve as primary targets of ~ 1/3 of currently marketed drugs, it is important to understand mechanisms of GPCR signaling in order to design selective and potent drug molecules. This chapter focuses on recent advances in computational studies of the GPCR-G protein interactions using bioinformatics, protein-protein docking and molecular dynamics simulation approaches.en_US
dc.publisherElsevieren_US
dc.rightsCopyright © 2019 Elsevier Inc. All rights reserved.en_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/en_US
dc.subjectProtein-protein interactionsen_US
dc.subjectGPCR-G protein interactionsen_US
dc.subjectBioinformaticsen_US
dc.subjectProtein-protein dockingen_US
dc.subjectMolecular dynamicsen_US
dc.titleRecent advances in computational studies of GPCR-G protein interactionsen_US
dc.typeArticleen_US
kusw.kuauthorWang, Jinan
kusw.kuauthorMiao, Yinglong
kusw.kudepartmentMolecular Biosciencesen_US
dc.identifier.doi10.1016/bs.apcsb.2018.11.011en_US
kusw.oaversionScholarly/refereed, author accepted manuscripten_US
kusw.oapolicyThis item meets KU Open Access policy criteria.en_US
dc.identifier.pmidPMC6986689en_US
dc.rights.accessrightsopenAccessen_US


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Copyright © 2019 Elsevier Inc. All rights reserved.
Except where otherwise noted, this item's license is described as: Copyright © 2019 Elsevier Inc. All rights reserved.