Evidence map›Paper›PMID 17918923›Full record

ArticleJournal of medicinal chemistry2007

From docking false-positive to active anti-HIV agent.

Gabriela Barreiro, Joseph T Kim, Cristiano R W Guimarães, Christopher M Bailey, Robert A Domaoal, Ligong Wang, Karen S Anderson, William L Jorgensen

Abstract read
In one paragraph

Article in Journal of medicinal chemistry, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed.

  1. Article
  2. A molecular evolution algorithm for ligand design in DOCK.Journal of computational chemistry · 2022
    Article
  3. Review
  4. Review
  5. Article
  6. Computer-aided discovery of anti-HIV agents.Bioorganic & medicinal chemistry · 2016
    Article
  7. Article
  8. Computational methods in drug discovery.Beilstein journal of organic chemistry · 2016
    Review
  9. Review
  10. Article
  11. Article
  12. Review
  13. Rational prediction with molecular dynamics for hit identification.Current topics in medicinal chemistry · 2012
    Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Prediction of the water content in protein binding sites.The journal of physical chemistry. B · 2009
    Article
  19. Efficient drug lead discovery and optimization.Accounts of chemical research · 2009
    Review
  20. 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

8 authors.

Gabriela BarreiroDepartment of Chemistry, Yale University, New Haven, Connecticut 06520-8107, USA.
Joseph T Kim
Cristiano R W Guimarães
Christopher M Bailey
Robert A Domaoal
Ligong Wang
Karen S Anderson
William L Jorgensen

Funding

MECHANISM AND INHIBITION OF HIV REVERSE TRANSCRIPTASER01GM049551 · NIGMS · YALE UNIVERSITY · PI ANDERSON, KAREN S. · 1993 to 2019
$9.0M
POTENTIAL FUNCTIONS FOR WATER PROTEIN INTERACTIONSR01GM032136 · NIGMS · YALE UNIVERSITY · PI JORGENSEN, WILLIAM L. · 1985 to 2023
$8.2M
COMPUTER-AIDED DESIGN OF ANTIHIV DRUGSR01AI044616 · NIAID · YALE UNIVERSITY · PI JORGENSEN, WILLIAM L. · 1999 to 2022
$7.7M
NIAID NIH HHS AI44616NIAID NIH HHS R01 AI044616NIGMS NIH HHS GM32136NIGMS NIH HHS GM49551NIGMS NIH HHS R01 GM032136NIGMS NIH HHS R01 GM049551
6 · The paper itself

Abstract

Virtual screening of the Maybridge library of ca. 70 000 compounds was performed using a similarity filter, docking, and molecular mechanics-generalized Born/surface area postprocessing to seek potential non-nucleoside inhibitors of human immunodeficiency virus-1 (HIV-1) reverse transcriptase (NNRTIs). Although known NNRTIs were retrieved well, purchase and assaying of representative, top-scoring compounds from the library failed to yield any active anti-HIV agents. However, the highest-ranked library compound, oxadiazole 1, was pursued as a potential "near-miss" with the BOMB program to seek constructive modifications. Subsequent synthesis and assaying of several polychloro-analogs did yield anti-HIV agents with EC50 values as low as 310 nM. The study demonstrates that it is possible to learn from a formally unsuccessful virtual-screening exercise and, with the aid of computational analyses, to efficiently evolve a false positive into a true active.

Indexed as

Databases, FactualQuantitative Structure-Activity RelationshipAnti-HIV AgentsCell LineHIV-1HIV Reverse TranscriptaseHumansLigandsModels, MolecularMolecular ConformationOxadiazolesReverse Transcriptase InhibitorsThermodynamicsAnti-HIV AgentsHIV Reverse TranscriptaseLigandsOxadiazolesreverse transcriptase, Human immunodeficiency virus 1Reverse Transcriptase Inhibitors

Identifiers

PMID17918923
PMCPMC2575345

What OpenQuestion holds

Textmetadata
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.