An online GPCR structure analysis platform

Research output: Contribution to journal › Journal article › Research › peer-review

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An online GPCR structure analysis platform. / Kooistra, Albert J.; Munk, Christian; Hauser, Alexander S.; Gloriam, David E.

In: Nature Structural and Molecular Biology, Vol. 28, No. 11, 2021, p. 875-878.

Research output: Contribution to journal › Journal article › Research › peer-review

Harvard

Kooistra, AJ, Munk, C, Hauser, AS & Gloriam, DE 2021, 'An online GPCR structure analysis platform', Nature Structural and Molecular Biology, vol. 28, no. 11, pp. 875-878. https://doi.org/10.1038/s41594-021-00675-6

APA

Kooistra, A. J., Munk, C., Hauser, A. S., & Gloriam, D. E. (2021). An online GPCR structure analysis platform. Nature Structural and Molecular Biology, 28(11), 875-878. https://doi.org/10.1038/s41594-021-00675-6

Vancouver

Kooistra AJ, Munk C, Hauser AS, Gloriam DE. An online GPCR structure analysis platform. Nature Structural and Molecular Biology. 2021;28(11):875-878. https://doi.org/10.1038/s41594-021-00675-6

Author

Kooistra, Albert J. ; Munk, Christian ; Hauser, Alexander S. ; Gloriam, David E. / An online GPCR structure analysis platform. In: Nature Structural and Molecular Biology. 2021 ; Vol. 28, No. 11. pp. 875-878.

Bibtex

@article{f2399fe7576b4672ab7954b6f11dec18,
title = "An online GPCR structure analysis platform",
abstract = "We present an online, interactive platform for comparative analysis of all available G-protein coupled receptor (GPCR) structures while correlating to functional data. The comprehensive platform encompasses structure similarity, secondary structure, protein backbone packing and movement, residue–residue contact networks, amino acid properties and prospective design of experimental mutagenesis studies. This lets any researcher tap the potential of sophisticated structural analyses enabling a plethora of basic and applied receptor research studies.",
author = "Kooistra, {Albert J.} and Christian Munk and Hauser, {Alexander S.} and Gloriam, {David E.}",
note = "Funding Information: This work was supported by the Lundbeck Foundation (grant nos R163-2013-16327 and R218-2016-1266), the Novo Nordisk Foundation (grant no NNF18OC0031226) and Independent Research Fund Denmark | Natural Sciences (grant no 8021-00173B) to D.E.G. Publisher Copyright: {\textcopyright} 2021, The Author(s), under exclusive licence to Springer Nature America, Inc.",
year = "2021",
doi = "10.1038/s41594-021-00675-6",
language = "English",
volume = "28",
pages = "875--878",
journal = "Nature Structural and Molecular Biology",
issn = "1545-9993",
publisher = "nature publishing group",
number = "11",

}

RIS

TY - JOUR

T1 - An online GPCR structure analysis platform

AU - Kooistra, Albert J.

AU - Munk, Christian

AU - Hauser, Alexander S.

AU - Gloriam, David E.

N1 - Funding Information: This work was supported by the Lundbeck Foundation (grant nos R163-2013-16327 and R218-2016-1266), the Novo Nordisk Foundation (grant no NNF18OC0031226) and Independent Research Fund Denmark | Natural Sciences (grant no 8021-00173B) to D.E.G. Publisher Copyright: © 2021, The Author(s), under exclusive licence to Springer Nature America, Inc.

PY - 2021

Y1 - 2021

N2 - We present an online, interactive platform for comparative analysis of all available G-protein coupled receptor (GPCR) structures while correlating to functional data. The comprehensive platform encompasses structure similarity, secondary structure, protein backbone packing and movement, residue–residue contact networks, amino acid properties and prospective design of experimental mutagenesis studies. This lets any researcher tap the potential of sophisticated structural analyses enabling a plethora of basic and applied receptor research studies.

AB - We present an online, interactive platform for comparative analysis of all available G-protein coupled receptor (GPCR) structures while correlating to functional data. The comprehensive platform encompasses structure similarity, secondary structure, protein backbone packing and movement, residue–residue contact networks, amino acid properties and prospective design of experimental mutagenesis studies. This lets any researcher tap the potential of sophisticated structural analyses enabling a plethora of basic and applied receptor research studies.

U2 - 10.1038/s41594-021-00675-6

DO - 10.1038/s41594-021-00675-6

M3 - Journal article

C2 - 34759374

AN - SCOPUS:85118897997

VL - 28

SP - 875

EP - 878

JO - Nature Structural and Molecular Biology

JF - Nature Structural and Molecular Biology

SN - 1545-9993

IS - 11

ER -

ID: 285938824