Evidence map›Paper›PMID 29728655›Full record

ArticleNature structural & molecular biology2018

High-performance virtual screening by targeting a high-resolution RNA dynamic ensemble.

Laura R Ganser, Janghyun Lee, Atul Rangadurai, Dawn K Merriman, Megan L Kelly, Aman D Kansal, Bharathwaj Sathyamoorthy, Hashim M Al-Hashimi

Erratum issuedOpen access · greenAbstract read
In one paragraph

Article in Nature structural & molecular biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 68 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
68citing papers in PubMed, 1 pooled it
4.2field-weighted citation impact, top 5% 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

68 citing papers in PubMed, 1 synthesis or guideline pooled it, 113 citations in OpenAlex.

  1. Pooled it
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  19. Novel Inhibitors of SARS-CoV-2 RNA Identified through Virtual Screening.Journal of chemical information and modeling · 2024
    Article
  20. Article

8 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 2 institutions in 1 country.

Laura R GanserDepartment of Biochemistry, Duke University School of Medicine, Durham, NC, USA.
Janghyun LeeDepartment of Chemistry, University of Michigan, Ann Arbor, MI, USA.
Atul RangaduraiDepartment of Biochemistry, Duke University School of Medicine, Durham, NC, USA.
Dawn K MerrimanDepartment of Chemistry, Duke University, Durham, NC, USA.
Megan L KellyDepartment of Biochemistry, Duke University School of Medicine, Durham, NC, USA.
Aman D KansalDepartment of Biochemistry, Duke University School of Medicine, Durham, NC, USA.
Bharathwaj SathyamoorthyDepartment of Biochemistry, Duke University School of Medicine, Durham, NC, USA.
Hashim M Al-HashimiDepartment of Biochemistry, Duke University School of Medicine, Durham, NC, USA. hashim.al.hashimi@duke.edu.ORCID http://orcid.org/0000-0003-0681-1747
Duke University · USUniversity of Michigan · US

Funding

MEDICAL SCIENTIST TRAINING PROGRAMT32GM007171 · NIGMS · DUKE UNIVERSITY · PI KONTOS, CHRISTOPHER D · 1985 to 2021
$31.2M
The Center for HIV RNA Studies (CRNA)P50GM103297 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI DAYIE, KWAKU · 2012 to 2016
$21.7M
Time-resolved small angle X-ray scatteringP01GM066275 · NIGMS · STANFORD UNIVERSITY · PI HERSCHLAG, DANIEL · 2003 to 2017
$17.8M
Structural Biology and Biphysics Training ProgramT32GM008487 · NIGMS · DUKE UNIVERSITY · PI OAS, TERRENCE GILBERT · 1994 to 2014
$2.9M
Targeting HIV-1 Regulatory RNA ElementsR01AI066975 · NIAID · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI AL-HASHIMI, HASHIM M · 2005 to 2014
$2.6M
Structure, Function and Targetability of RNA Excited StatesF31GM119306 · NIGMS · DUKE UNIVERSITY · PI GANSER, LAURA R. · 2017 to 2018
$71k
NIAID NIH HHS R01 AI066975NIGMS NIH HHS F31 GM119306NIGMS NIH HHS P01 GM066275NIGMS NIH HHS P50 GM103297NIGMS NIH HHS T32 GM007171
6 · The paper itself

Abstract

Dynamic ensembles hold great promise in advancing RNA-targeted drug discovery. Here we subjected the transactivation response element (TAR) RNA from human immunodeficiency virus type-1 to experimental high-throughput screening against ~100,000 drug-like small molecules. Results were augmented with 170 known TAR-binding molecules and used to generate sublibraries optimized for evaluating enrichment when virtually screening a dynamic ensemble of TAR determined by combining NMR spectroscopy data and molecular dynamics simulations. Ensemble-based virtual screening scores molecules with an area under the receiver operator characteristic curve of ~0.85-0.94 and with ~40-75% of all hits falling within the top 2% of scored molecules. The enrichment decreased significantly for ensembles generated from the same molecular dynamics simulations without input NMR data and for other control ensembles. The results demonstrate that experimentally determined RNA ensembles can significantly enrich libraries with true hits and that the degree of enrichment is dependent on the accuracy of the ensemble.

Indexed as

Drug DiscoveryHigh-Throughput Screening AssaysHIV-1HIV Long Terminal RepeatHumansMagnetic Resonance SpectroscopyMolecular Dynamics SimulationRNA, ViralSmall Molecule LibrariesRNA, ViralSmall Molecule Libraries

Identifiers

PMID29728655
PMCPMC5942591
OpenAlexW2951804018

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.