Evidence map›Paper›PMID 29053626›Full record

SynthesisMolecules (Basel, Switzerland)2017

A Systematic Review of Computational Drug Discovery, Development, and Repurposing for Ebola Virus Disease Treatment.

James Schuler, Matthew L Hudson, Diane Schwartz, Ram Samudrala

Open access · goldAbstract readSystematic Review
In one paragraph

Synthesis in Molecules (Basel, Switzerland), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
3.9field-weighted citation impact, top 6% 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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 43 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Lead Identification ThroughCentral nervous system agents in medicinal chemistry · 2024
    Article
  6. Review
  7. Article
  8. Article
  9. A review on machine learning approaches and trends in drug discovery.Computational and structural biotechnology journal · 2021
    Review
  10. Review
  11. Article
  12. Article
  13. Article
  14. Review
  15. 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

4 authors at 1 institution in 1 country.

James SchulerDepartment of Biomedical Informatics, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York, Buffalo, NY 14203, USA. jcschule@buffalo.edu.
Matthew L HudsonDepartment of Biomedical Informatics, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York, Buffalo, NY 14203, USA. mlhudson@buffalo.edu.
Diane SchwartzDepartment of Biomedical Informatics, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York, Buffalo, NY 14203, USA. digs@buffalo.edu.
Ram SamudralaDepartment of Biomedical Informatics, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York, Buffalo, NY 14203, USA. ram@compbio.org.
University at Buffalo, State University of New York · US

Funding

University of Buffalo Clinical and Translational Science Institute - Supplement SchulyerUL1TR001412 · NCATS · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI MURPHY, TIMOTHY F · 2015 to 2024
$33.8M
NOVEL PARADIGMS FOR DRUG DISCOVERY: COMPUTATIONAL MULTITARGET SCREENINGDP1OD006779 · OD · UNIVERSITY OF WASHINGTON · PI SAMUDRALA, RAM · 2010 to 2011
$1.7M
NCATS NIH HHS UL1 TR001412NIH HHS DP1 OD006779
6 · The paper itself

Abstract

Ebola virus disease (EVD) is a deadly global public health threat, with no currently approved treatments. Traditional drug discovery and development is too expensive and inefficient to react quickly to the threat. We review published research studies that utilize computational approaches to find or develop drugs that target the Ebola virus and synthesize its results. A variety of hypothesized and/or novel treatments are reported to have potential anti-Ebola activity. Approaches that utilize multi-targeting/polypharmacology have the most promise in treating EVD.

Indexed as

Antiviral AgentsComputational BiologyDisease OutbreaksDrug RepositioningHemorrhagic Fever, EbolaHumansMachine LearningAntiviral Agentscomputational biologycomputational pharmacologydrug repositioningdrug repurposingEbola virusEbola virus diseaseEbola virus disease treatmentmultitargetingpolypharmacologysystematic review

Identifiers

PMID29053626
PMCPMC6151658
OpenAlexW2766827510

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.