High-Resolution Crystal Structure of an Engineered Human β2-Adrenergic G Protein–Coupled Receptor
By Vadim Cherezov, D. Rosenbaum, M. Hanson, S. Rasmussen, Foon Sun Thian, T. S. Kobilka, Hee-Jung Choi, P. Kuhn, William I. Weis, Brian K. Kobilka and 1 more. 2007
2,512 citations recorded by the source corpus.
Subfields: Cellular and Molecular Neuroscience, Computational Theory and Mathematics, Molecular Biology
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The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Cellular and Molecular Neuroscience
- Brian K. Kobilka
- Raymond C. Stevens
- Vadim Cherezov
- Vsevolod Katritch
- Ruben Abagyan
- Éric Reiter
- Jens Meiler
- Gaetano T. Montelione
In Computational Theory and Mathematics
- Andriy Kryshtafovych
- Gaetano T. Montelione
- Rhiju Das
- Yuanpeng Janet Huang
- Yana Bromberg
- Krzysztof Fidelis
- Vsevolod Katritch
- Roland L. Dunbrack
In Molecular Biology
- Torsten Schwede
- Yang Zhang
- Andrej Sali
- Ben M. Webb
- Andriy Kryshtafovych
- David Baker
- Roland L. Dunbrack
- Gaetano T. Montelione
Citations in the corpus
- Improving homology modeling from low-sequence identity templates in Rosetta: A case study in GPCRs (2020, background): “Three receptors (4ZUD [43], 3PBL [44], and 2RH1 [5]) were identified that had at least 5 templates in each identity range (30–39%, 25–29%, 20–24%, and 15–19%).”
- 3D structures of membrane proteins from genomic sequencing (2012, neutral): “Despite great progress in determining structures by experimental methods (Chen et al., 2010; Cherezov et al., 2007; Choe et al., 2011; Long et al., 2007; Miller and Long, 2012; Rasmussen et al., 2011; Rasmussen et al., 2007), the 3D structures of most transmembrane proteins remain unknown, and…”
- Outcome of a Workshop on Applications of Protein Models in Biomedical Research (2009, background): “Clearly, the recent GPCR structures (Cherezov et al., 2007; Rasmussen et al., 2007; Warne et al., 2008) will further aid modeling of this important class of biological targets.”
- Structural Features for Functional Selectivity at Serotonin Receptors (2013, background): “44 was similar to that observed in the inactive β2AR (β2AR-R, PDB ID: 2RH1, (19)) (Fig.”
- Sibe: a computation tool to apply protein sequence statistics to predict folding and design in silico (2019, methodology): “In this section, we will use the human β 2 AR protein [27] to illustrate how Sibe functions for protein design in silico from sequence analysis.”