Evidence map›Paper›PMID 24990575›Full record

ArticleDrug discovery today. Technologies2012

In silico virtual screening approaches for anti-viral drug discovery.

Manuela S Murgueitio, Marcel Bermudez, Jérémie Mortier, Gerhard Wolber

Abstract read
In one paragraph

Article in Drug discovery today. Technologies, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing 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

35 citing papers in PubMed.

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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.

Manuela S MurgueitioFreie Universität Berlin, Institute of Pharmacy, Department Pharmaceutical Chemistry, Koenigin-Luise-Str. 2, 14195 Berlin, Germany.
Marcel BermudezFreie Universität Berlin, Institute of Pharmacy, Department Pharmaceutical Chemistry, Koenigin-Luise-Str. 2, 14195 Berlin, Germany.
Jérémie MortierFreie Universität Berlin, Institute of Pharmacy, Department Pharmaceutical Chemistry, Koenigin-Luise-Str. 2, 14195 Berlin, Germany.
Gerhard WolberFreie Universität Berlin, Institute of Pharmacy, Department Pharmaceutical Chemistry, Koenigin-Luise-Str. 2, 14195 Berlin, Germany. Electronic address:gerhard.wolber@fu-berlin.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite the considerable advances in medical and pharmaceutical research during the past years, diseases caused by viruses have remained a major burden to public health. Virtual in silico screening has repeatedly proven to be useful to meet the special challenges of antiviral drug discovery. Large virtual compound libraries are filtered by different computational screening methods such as docking, ligand-based similarity searches or pharmacophore-based screening, reducing the number of candidate molecules to a smaller set of promising candidates that are then tested biologically. This rational approach makes the drug discovery process more goal-oriented and saves resources in terms of time and money. In this review we discuss how different virtual screening techniques can be applied to antiviral drug discovery, present recent success stories in this field and finally address the main differences between the methods.:

Identifiers

PMID24990575
PMCPMC7105918

What OpenQuestion holds

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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.