Evidence map›Paper›PMID 27048620›Full record

ArticleJournal of computer-aided molecular design2016

Computational analysis of EBNA1 "druggability" suggests novel insights for Epstein-Barr virus inhibitor design.

Eleonora Gianti, Troy E Messick, Paul M Lieberman, Randy J Zauhar

Abstract read
In one paragraph

Article in Journal of computer-aided molecular design, 2016. 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. Review
  2. Article
  3. Article
  4. Review
  5. Cytokine Storm Syndromes Associated with Epstein-Barr Virus.Advances in experimental medicine and biology · 2024
    Review
  6. Article
  7. Review
  8. Review
  9. Review
  10. Article
  11. Article
  12. Suppression of Zika Virus Infection in the Brain by the Antiretroviral Drug Rilpivirine.Molecular therapy : the journal of the American Society of Gene Therapy · 2019
    Article
  13. Article
  14. Novel Therapeutics for Epstein⁻Barr Virus.Molecules (Basel, Switzerland) · 2019
    Review
  15. A viral protein kinase drug target for tumors?The Journal of clinical investigation · 2018
    Article
  16. Review
  17. Review
  18. On the role of water density fluctuations in the inhibition of a proton channel.Proceedings of the National Academy of Sciences of the United States of America · 2016
    Article
  19. 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

4 authors.

Eleonora GiantiDepartment of Chemistry and Biochemistry, University of the Sciences, 600 South, 43rd Street, Philadelphia, PA, 19104, USA. eleonora.gianti@gmail.com.
Troy E MessickThe Wistar Institute, 3601 Spruce Street, Philadelphia, PA, 19104, USA.
Paul M LiebermanThe Wistar Institute, 3601 Spruce Street, Philadelphia, PA, 19104, USA.
Randy J ZauharDepartment of Chemistry and Biochemistry, University of the Sciences, 600 South, 43rd Street, Philadelphia, PA, 19104, USA.

Funding

Tumor Microenvironment and MetastasisP30CA010815 · NCI · WISTAR INSTITUTE · PI Luis J Montaner · 1985 to 2026
$75.9M
Epigenetic Regulation of Epstein-Barr Virus Latency ProgramsR01DE017336 · NIDCR · WISTAR INSTITUTE · PI PAUL M. LIEBERMAN · 2005 to 2026
$6.5M
NCI NIH HHS P30 CA010815NIDCR NIH HHS R01 DE017336Wellcome TrustWellcome Trust 096496/Z/11/Z
6 · The paper itself

Abstract

The Epstein-Barr Nuclear Antigen 1 (EBNA1) is a critical protein encoded by the Epstein-Barr Virus (EBV). During latent infection, EBNA1 is essential for DNA replication and transcription initiation of viral and cellular genes and is necessary to immortalize primary B-lymphocytes. Nonetheless, the concept of EBNA1 as drug target is novel. Two EBNA1 crystal structures are publicly available and the first small-molecule EBNA1 inhibitors were recently discovered. However, no systematic studies have been reported on the structural details of EBNA1 "druggable" binding sites. We conducted computational identification and structural characterization of EBNA1 binding pockets, likely to accommodate ligand molecules (i.e. "druggable" binding sites). Then, we validated our predictions by docking against a set of compounds previously tested in vitro for EBNA1 inhibition (PubChem AID-2381). Finally, we supported assessments of pocket druggability by performing induced fit docking and molecular dynamics simulations paired with binding affinity predictions by Molecular Mechanics Generalized Born Surface Area calculations for a number of hits belonging to druggable binding sites. Our results establish EBNA1 as a target for drug discovery, and provide the computational evidence that active AID-2381 hits disrupt EBNA1:DNA binding upon interacting at individual sites. Lastly, structural properties of top scoring hits are proposed to support the rational design of the next generation of EBNA1 inhibitors.

Indexed as

Drug DiscoveryBinding SitesB-LymphocytesComputer SimulationCrystallography, X-RayDNA-Binding ProteinsEpstein-Barr Virus InfectionsEpstein-Barr Virus Nuclear AntigensHerpesvirus 4, HumanHumansLigandsProtein ConformationDNA-Binding ProteinsEpstein-Barr Virus Nuclear AntigensLigandsComputational approaches to pocket findingEBNA1 “druggability” assessmentMolecular dockingStructure-based drug design

Identifiers

PMID27048620
PMCPMC5180362

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Registered trials

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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.