Cited by 93Receptor Mechanisms and SignalingComputational Drug Discovery MethodsProtein Structure and Dynamics

G-protein coupled receptors: advances in simulation and drug discovery

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Miao, Yinglong, McCammon, J Andrew·2016·Current Opinion in Structural Biology

Abstract

G-protein coupled receptors (GPCRs), the largest family of human membrane proteins, mediate cellular signaling and represent primary targets of about one third of currently marketed drugs. GPCRs undergo highly dynamic structural transitions during signal transduction, from binding of extracellular ligands to coupling with intracellular effector proteins. Molecular dynamics (MD) simulations have been utilized to investigate GPCR signaling mechanisms (such as pathways of ligand binding and receptor activation/deactivation) and to design novel small-molecule drug candidates. Future research directions point towards modeling cooperative binding of multiple orthosteric and allosteric ligands to GPCRs, GPCR oligomerization and interactions of GPCRs with different intracellular signaling proteins. Through methodological and supercomputing advances, MD simulations will continue to provide important insights into GPCR signaling mechanisms and further facilitate structure-based drug design.

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Authors
Miao, Y., & McCammon, J. A.
Affiliations
Howard Hughes Medical Institute (US)
Corresponding author
  • Miao, Yinglong
  • McCammon, J Andrew
Venue
Current Opinion in Structural Biology
Publisher
Elsevier BV
Published
2016-12
Volume
41
Pages
83-89
ISSN
0959-440X (ISSN-L)
OpenAlex
W2463173616
Cited by
93
References
64
Citations by year
2026: 5 · 2025: 7 · 2024: 8 · 2023: 7 · 2022: 7 · 2021: 7 · 2020: 6 · 2019: 11 · 2018: 13 · 2017: 20 · 2016: 2
FWCI
1.38
Type
journal article
Language
en
Open access
Locations
  • Current Opinion in Structural Biology (publishedVersion)
  • PubMed (publishedVersion)
  • PubMed Central (acceptedVersion)
  • OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) (submittedVersion)
  • eScholarship (California Digital Library) (submittedVersion)
Funders
  • National Science Foundation (GM31749, 1020765)
  • Howard Hughes Medical Institute
  • National Energy Research Scientific Computing Center
  • National Institutes of Health
  • National Institute of General Medical Sciences (R01GM031749, P41GM103426)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Receptor Mechanisms and Signaling
  • Physical Sciences › Computer Science › Computational Theory and Mathematics › Computational Drug Discovery Methods
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Protein Structure and Dynamics
Keywords
G protein-coupled receptors, molecular dynamics simulation, ligand binding, receptor activation, allosteric ligands, orthosteric ligands, GPCR oligomerization, structure-based drug design, small molecule drug candidates
MeSH terms
Humans, Ligands, Computer-Aided Design, Receptors, G-Protein-Coupled, Drug Discovery, Molecular Dynamics Simulation

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