Evidence map›Paper›PMID 24532034›Full record

ArticleJournal of computer-aided molecular design2014

Interrogating HIV integrase for compounds that bind--a SAMPL challenge.

Thomas S Peat, Olan Dolezal, Janet Newman, David Mobley, John J Deadman

Abstract read
In one paragraph

Article in Journal of computer-aided molecular design, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Article
  2. The Integrase: An Overview of a Key Player Enzyme in the Antiviral Scenario.International journal of molecular sciences · 2023
    Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Understanding TRPV1 activation by ligands: Insights from the binding modes of capsaicin and resiniferatoxin.Proceedings of the National Academy of Sciences of the United States of America · 2016
    Article
  12. Article
  13. Article
  14. Article
  15. Virtual screening of the SAMPL4 blinded HIV integrase inhibitors dataset.Journal of computer-aided molecular design · 2014
    Article
  16. Blind prediction of HIV integrase binding from the SAMPL4 challenge.Journal of computer-aided molecular design · 2014
    Review
  17. Article
  18. Article
  19. SAMPL4 & DOCK3.7: lessons for automated docking procedures.Journal of computer-aided molecular design · 2014
    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

5 authors.

Thomas S PeatCSIRO, Parkville, VIC, Australia, tompeat@hotmail.com.
Olan Dolezal
Janet Newman
David Mobley
John J Deadman

Funding

Testing and improving alchemical techniques for predicting protein-ligand bindingR15GM096257 · NIGMS · UNIVERSITY OF NEW ORLEANS · PI MOBLEY, DAVID LOWELL · 2012 to 2012
$268k
NIGMS NIH HHS 1R15GM096257-01A1NIGMS NIH HHS R15 GM096257
6 · The paper itself

Abstract

Tremendous gains and novel methods are often developed when people are challenged to do something new or difficult. This process is enhanced when people compete against each other-this can be seen in sport as well as in science and technology (e.g. the space race). The SAMPL challenges, like the CASP challenges, aim to challenge modellers and software developers to develop new ways of looking at molecular interactions so the community as a whole can progress in the accurate prediction of these interactions. In order for this challenge to occur, data must be supplied so the prospective test can be done. We have supplied unpublished data related to a drug discovery program run several years ago on HIV integrase for the SAMPL4 challenge. This paper describes the methods used to obtain these data and the chemistry involved.

Indexed as

Drug DesignComputer-Aided DesignHIVHIV InfectionsHIV IntegraseHIV Integrase InhibitorsHumansModels, MolecularProtein BindingSoftwareHIV IntegraseHIV Integrase Inhibitors

Identifiers

PMID24532034
PMCPMC4346355

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.