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


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 ?2AR. 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.

SUBMITTER: Kohlhoff KJ 

PROVIDER: S-EPMC3923464 | biostudies-literature | 2014 Jan

REPOSITORIES: biostudies-literature

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

Kohlhoff Kai J KJ   Shukla Diwakar D   Lawrenz Morgan M   Bowman Gregory R GR   Konerding David E DE   Belov Dan D   Altman Russ B RB   Pande Vijay S VS  

Nature chemistry 20131215 1


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 model  ...[more]

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