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Cited by 632

The DOI matches its Crossref record; 308 of the 308 references it cites were found in a registry or an index.

G protein-coupled receptors: structure- and function-based drug discovery

Open access
Yang, Dehua, Zhou, Qingtong, Labroska, Viktorija, Qin, Shanshan, Darbalaei, Sanaz, Wu, Yiran, Yuliantie, Elita, Xie, Linshan, Tao, Houchao, Cheng, Jianjun, Liu, Qing, Zhao, Suwen, Shui, Wenqing, Jiang, Yi, Wang, Ming-Wei·2021·Signal Transduction and Targeted Therapy

Abstract

As one of the most successful therapeutic target families, G protein-coupled receptors (GPCRs) have experienced a transformation from random ligand screening to knowledge-driven drug design. We are eye-witnessing tremendous progresses made recently in the understanding of their structure–function relationships that facilitated drug development at an unprecedented pace. This article intends to provide a comprehensive overview of this important field to a broader readership that shares some common interests in drug discovery.

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Crossref · 10.1038/s41392-020-00435-w

Cites

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Citations

Cites

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Metadata

Authors
Yang, D., Zhou, Q., Labroska, V., Qin, S., Darbalaei, S., Wu, Y., Yuliantie, E., Xie, L., Tao, H., Cheng, J., Liu, Q., Zhao, S., Shui, W., Jiang, Y., & Wang, M.-W.
Venue
Signal Transduction and Targeted Therapy
Published
2021-01-08
Volume
6
Issue
1
Pages
7-7
ISSN
2059-3635 (ISSN-L)
OpenAlex
W3121001695
Cited by
632
References
308
FWCI
26.23
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: G protein-coupled receptors: structure- and function-based drug discovery. https://app.cochat.ai/papers/10.1038/s41392-020-00435-w
The paper
Yang, D., Zhou, Q., Labroska, V., Qin, S., Darbalaei, S., Wu, Y., Yuliantie, E., Xie, L., Tao, H., Cheng, J., Liu, Q., Zhao, S., Shui, W., Jiang, Y., & Wang, M.-W. (2021). G protein-coupled receptors: structure- and function-based drug discovery. Signal Transduction and Targeted Therapy. https://doi.org/10.1038/s41392-020-00435-w

Data sources

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.