Evidence map›Paper›PMID 24345941›Full record

ArticleNature chemistry2014

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

Kai J Kohlhoff, Diwakar Shukla, Morgan Lawrenz, Gregory R Bowman, David E Konerding, Dan Belov, Russ B Altman, Vijay S Pande

Erratum issuedAbstract read
In one paragraph

Article in Nature chemistry, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 204 papers.

0numbers the graph read from it
0cells of the map it votes in
204citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

204 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Dynamic mechanism for subtype selectivity of endocannabinoids.The Journal of biological chemistry · 2026
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Visualizing agonist-induced M2 receptor activation regulated by aromatic ring dynamics.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

144 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Kai J Kohlhoff *Department of Bioengineering, Stanford University, 450 Serra Mall, Stanford, CA 94305, USA.
Diwakar Shukla *Department of Bioengineering, Stanford University, 450 Serra Mall, Stanford, CA 94305, USA.
Morgan Lawrenz *Department of Chemistry, Stanford University, 450 Serra Mall, Stanford, CA 94305, USA.
Gregory R BowmanDepartment of Chemistry, Stanford University, 450 Serra Mall, Stanford, CA 94305, USA.
David E KonerdingGoogle Inc., 1600 Amphitheatre Parkway, Mountain View, CA 94043, USA.
Dan BelovGoogle Inc., 1600 Amphitheatre Parkway, Mountain View, CA 94043, USA.
Russ B AltmanDepartment of Bioengineering, Stanford University, 450 Serra Mall, Stanford, CA 94305, USA.
Vijay S PandeDepartment of Chemistry, Stanford University, 450 Serra Mall, Stanford, CA 94305, USA.

Funding

Physics-based Simulation of Biological Structures(RMI)U54GM072970 · NIGMS · STANFORD UNIVERSITY · PI DELP, SCOTT L · 2004 to 2013
$33.5M
Text Mining for High-fidelity Curation and Discovery of Gene-drug-phenotype RelationshipsR01LM005652 · NLM · STANFORD UNIVERSITY · PI ALTMAN, RUSS BIAGIO · 2000 to 2018
$6.2M
NIGMS NIH HHS U54 GM07297NIGMS NIH HHS U54 GM072970NLM NIH HHS R01 LM005652
6 · The paper itself

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.

Indexed as

InternetLigandsMarkov ChainsReceptors, G-Protein-CoupledLigandsReceptors, G-Protein-Coupled

Identifiers

PMID24345941
PMCPMC3923464

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.