Evidence map›Paper›PMID 37071086›Full record

ArticleJournal of chemical information and modeling2023

Large-Scale Docking in the Cloud.

Benjamin I Tingle, John J Irwin

Open access · hybridAbstract read
In one paragraph

Article in Journal of chemical information and modeling, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
4.6field-weighted citation impact, top 4% of its field
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

15 citing papers in PubMed, 23 citations in OpenAlex.

  1. Automated pharmacophore hypothesis generator for SILCS-Pharm: ph4gen.Journal of computer-aided molecular design · 2026
    Article
  2. Review
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Review
  9. Review
  10. Identifying Artifacts from Large Library Docking.Journal of medicinal chemistry · 2024
    Article
  11. Identifying Artifacts from Large Library Docking.bioRxiv : the preprint server for biology · 2024
    Article
  12. Article
  13. DockOpt: A Tool for Automatic Optimization of Docking Models.Journal of chemical information and modeling · 2024
    Article
  14. Article
  15. Considerations Around Structure-Based Drug Discovery for KRAS Using DOCK.Methods in molecular biology (Clifton, N.J.) · 2024
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

Benjamin I TingleDepartment of Pharmaceutical Chemistry, University of California San Francisco, 1700 4th Street, MC 2550, San Francisco, California 94158-2330, United States.
John J IrwinDepartment of Pharmaceutical Chemistry, University of California San Francisco, 1700 4th Street, MC 2550, San Francisco, California 94158-2330, United States.ORCID 0000-0002-1195-6417
University of California, San Francisco · US

Funding

Ultra-large library docking for ligand discoveryR01GM133836 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI IRWIN, JOHN J. · 2019 to 2022
$1.6M
NIGMS NIH HHS R01 GM133836
6 · The paper itself

Abstract

Molecular docking is a pragmatic approach to exploit protein structures for new ligand discovery, but the growing size of available chemical space is increasingly challenging to screen on in-house computer clusters. We have therefore developed AWS-DOCK, a protocol for running UCSF DOCK in the AWS cloud. Our approach leverages the low cost and scalability of cloud resources combined with a low-molecule-cost docking engine to screen billions of molecules efficiently. We benchmarked our system by screening 50 million HAC 22 molecules against the DRD4 receptor with an average CPU time of around 1 s per molecule. We saw up to 3-fold variations in cost between AWS availability zones. Docking 4.5 billion lead-like molecules, a 7 week calculation on our 1000-core lab cluster, runs in about a week depending on accessible CPUs, in AWS for around $25,000, less than the cost of two new nodes. The cloud docking protocol is described in easy-to-follow steps and may be sufficiently general to be used for other docking programs. All the tools to enable AWS-DOCK are available free to everyone, while DOCK 3.8 is free for academic research.

Indexed as

ProteinsLigandsMolecular Docking SimulationLigandsProteins

Identifiers

PMID37071086
PMCPMC10170500
OpenAlexW4366241519

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.