G protein coupled receptors

D. Provasi; M. Filizola

doi:10.1016/B978-0-12-374920-8.00911-5

G protein coupled receptors

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

Abstract

The G protein-coupled receptor (GPCR) superfamily consists of numerous closely related membrane proteins that respond to a variety of stimuli ranging from small particles to large molecules. The consequent initiation of several different biological processes makes these receptors the most targeted group of proteins for the development of therapeutic drugs. Advances in structural, biochemical, and biophysical analyses of GPCRs offer a unique opportunity to improve dynamic molecular models of these receptors. This chapter highlights results from the application of several computational approaches to GPCRs toward a better understanding of the molecular mechanisms underlying their diverse functions.

Original language	English
Title of host publication	Comprehensive Biophysics
Publisher	Elsevier Inc.
Pages	123-148
Number of pages	26
Volume	9
ISBN (Print)	9780080957180
DOIs	https://doi.org/10.1016/B978-0-12-374920-8.00911-5
State	Published - 2012

Keywords

Activation
Coarse-grained simulations
Computational methods
Dynamics
GPCRs
Homology modeling
Membrane protein
Molecular dynamics
Oligomerization
Sampling algorithms

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10.1016/B978-0-12-374920-8.00911-5

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title = "G protein coupled receptors",

abstract = "The G protein-coupled receptor (GPCR) superfamily consists of numerous closely related membrane proteins that respond to a variety of stimuli ranging from small particles to large molecules. The consequent initiation of several different biological processes makes these receptors the most targeted group of proteins for the development of therapeutic drugs. Advances in structural, biochemical, and biophysical analyses of GPCRs offer a unique opportunity to improve dynamic molecular models of these receptors. This chapter highlights results from the application of several computational approaches to GPCRs toward a better understanding of the molecular mechanisms underlying their diverse functions.",

keywords = "Activation, Coarse-grained simulations, Computational methods, Dynamics, GPCRs, Homology modeling, Membrane protein, Molecular dynamics, Oligomerization, Sampling algorithms",

author = "D. Provasi and M. Filizola",

note = "Funding Information: Support from NIH grants DA020032, DA026434, and DA017976 from the National Institute on Drug Abuse.",

year = "2012",

doi = "10.1016/B978-0-12-374920-8.00911-5",

language = "English",

isbn = "9780080957180",

volume = "9",

pages = "123--148",

booktitle = "Comprehensive Biophysics",

publisher = "Elsevier Inc.",

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TY - CHAP

T1 - G protein coupled receptors

AU - Provasi, D.

AU - Filizola, M.

N1 - Funding Information: Support from NIH grants DA020032, DA026434, and DA017976 from the National Institute on Drug Abuse.

PY - 2012

Y1 - 2012

N2 - The G protein-coupled receptor (GPCR) superfamily consists of numerous closely related membrane proteins that respond to a variety of stimuli ranging from small particles to large molecules. The consequent initiation of several different biological processes makes these receptors the most targeted group of proteins for the development of therapeutic drugs. Advances in structural, biochemical, and biophysical analyses of GPCRs offer a unique opportunity to improve dynamic molecular models of these receptors. This chapter highlights results from the application of several computational approaches to GPCRs toward a better understanding of the molecular mechanisms underlying their diverse functions.

AB - The G protein-coupled receptor (GPCR) superfamily consists of numerous closely related membrane proteins that respond to a variety of stimuli ranging from small particles to large molecules. The consequent initiation of several different biological processes makes these receptors the most targeted group of proteins for the development of therapeutic drugs. Advances in structural, biochemical, and biophysical analyses of GPCRs offer a unique opportunity to improve dynamic molecular models of these receptors. This chapter highlights results from the application of several computational approaches to GPCRs toward a better understanding of the molecular mechanisms underlying their diverse functions.

KW - Activation

KW - Coarse-grained simulations

KW - Computational methods

KW - Dynamics

KW - GPCRs

KW - Homology modeling

KW - Membrane protein

KW - Molecular dynamics

KW - Oligomerization

KW - Sampling algorithms

UR - http://www.scopus.com/inward/record.url?scp=84882756971&partnerID=8YFLogxK

U2 - 10.1016/B978-0-12-374920-8.00911-5

DO - 10.1016/B978-0-12-374920-8.00911-5

M3 - Chapter

AN - SCOPUS:84882756971

SN - 9780080957180

VL - 9

SP - 123

EP - 148

BT - Comprehensive Biophysics

PB - Elsevier Inc.

ER -

G protein coupled receptors

Abstract

Keywords

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