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Nat Chem. 2014 Jan;6(1):15-21. doi: 10.1038/nchem.1821. Epub 2013 Dec 15.

Cloud-based simulations on Google Exacycle reveal ligand modulation of GPCR activation pathways.

Author information

1
Department of Bioengineering, Stanford University, 450 Serra Mall, Stanford, CA 94305, USA.
2
Google Inc., 1600 Amphitheatre Parkway, Mountain View, CA 94043, USA.
3
Department of Chemistry, Stanford University, 450 Serra Mall, Stanford, CA 94305, USA.
4
Department of Genetics, Stanford University, 450 Serra Mall, Stanford, CA 94305, USA.
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Contributed equally

Abstract

Simulations can provide tremendous insight into the atomistic details of biological mechanisms, but micro- to millisecond timescales are historically only accessible on dedicated supercomputers. We demonstrate that cloud computing is a viable alternative that brings long-timescale processes within reach of a broader community. We used Google's Exacycle cloud-computing platform to simulate two milliseconds of dynamics of a major drug target, the G-protein-coupled receptor β2AR. Markov state models aggregate independent simulations into a single statistical model that is validated by previous computational and experimental results. Moreover, our models provide an atomistic description of the activation of a G-protein-coupled receptor and reveal multiple activation pathways. Agonists and inverse agonists interact differentially with these pathways, with profound implications for drug design.

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PMID:
24345941
PMCID:
PMC3923464
DOI:
10.1038/nchem.1821
[Indexed for MEDLINE]
Free PMC Article

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