Evidence map›Paper›PMID 18588301›Full record

ArticleJournal of the American Chemical Society2008

Optimization of azoles as anti-human immunodeficiency virus agents guided by free-energy calculations.

Jacob G Zeevaart, Ligong Wang, Vinay V Thakur, Cheryl S Leung, Julian Tirado-Rives, Christopher M Bailey, Robert A Domaoal, Karen S Anderson, William L Jorgensen

Open access · greenAbstract read
In one paragraph

Article in Journal of the American Chemical Society, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
12.0field-weighted citation impact, top 1% 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

31 citing papers in PubMed, 94 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Computer-aided discovery of anti-HIV agents.Bioorganic & medicinal chemistry · 2016
    Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
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  12. Article
  13. Review
  14. Article
  15. Article
  16. Review
  17. Article
  18. The future of molecular dynamics simulations in drug discovery.Journal of computer-aided molecular design · 2012
    Article
  19. Article
  20. Review
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

9 authors at 1 institution in 1 country.

Jacob G ZeevaartDepartment of Chemistry, Yale University, New Haven, Connecticut 06520-8107, USA.
Ligong Wang
Vinay V Thakur
Cheryl S Leung
Julian Tirado-Rives
Christopher M Bailey
Robert A Domaoal
Karen S Anderson
William L Jorgensen
Yale University · US

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

Efficient optimization of an inactive 2-anilinyl-5-benzyloxadiazole core has been guided by free energy perturbation (FEP) calculations to provide potent non-nucleoside inhibitors of human immunodeficiency virus (HIV) reverse transcriptase (NNRTIs). An FEP "chlorine scan" was performed to identify the most promising sites for substitution of aryl hydrogens. This yielded NNRTIs 8 and 10 with activities (EC50) of 820 and 310 nM for protection of human T-cells from infection by wild-type HIV-1. FEP calculations for additional substituent modifications and change of the core heterocycle readily led to oxazoles 28 and 29, which were confirmed as highly potent anti-HIV agents with activities in the 10-20 nM range. The designed compounds were also monitored for possession of desirable pharmacological properties by use of additional computational tools. Overall, the trends predicted by the FEP calculations were well borne out by the assay results. FEP-guided lead optimization is confirmed as a valuable tool for molecular design including drug discovery; chlorine scans are particularly attractive since they are both straightforward to perform and highly informative.

Indexed as

AzolesHIV-1HIV Reverse TranscriptaseModels, MolecularMonte Carlo MethodMutationOxadiazolesOxazolesReverse Transcriptase InhibitorsStructure-Activity RelationshipThermodynamicsAzolesHIV Reverse TranscriptaseOxadiazolesOxazolesreverse transcriptase, Human immunodeficiency virus 1Reverse Transcriptase Inhibitors

Identifiers

PMID18588301
PMCPMC2677907
OpenAlexW2056516302

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.