Evidence map›Paper›PMID 35230686›Full record

ArticleAdvances in experimental medicine and biology2022

Computational Methods for Drug Repurposing.

Rosaria Valentina Rapicavoli, Salvatore Alaimo, Alfredo Ferro, Alfredo Pulvirenti

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In one paragraph

Article in Advances in experimental medicine and biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Review
  2. Article
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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.

Rosaria Valentina RapicavoliDepartment of Physics and Astronomy, University of Catania, Catania, Italy.
Salvatore AlaimoDepartment of Clinical and Experimental Medicine, Bioinformatics Unit, University of Catania, Catania, Italy.
Alfredo FerroDepartment of Clinical and Experimental Medicine, Bioinformatics Unit, University of Catania, Catania, Italy.
Alfredo PulvirentiDepartment of Clinical and Experimental Medicine, Bioinformatics Unit, University of Catania, Catania, Italy. alfredo.pulvirenti@unict.it.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The wealth of knowledge and multi-omics data available in drug research has allowed the rise of several computational methods in the drug discovery field, resulting in a novel and exciting strategy called drug repurposing. Drug repurposing consists in finding new applications for existing drugs. Numerous computational methods perform a high-level integration of different knowledge sources to facilitate the discovery of unknown mechanisms. In this chapter, we present a survey of data resources and computational tools available for drug repositioning.

Indexed as

Drug DiscoveryDrug RepositioningComputational Biology3D structuresBiological pathwaysDrug databasesDrug repositioningDrug-target interaction predictionGene expressionLigand similarity

Identifiers

PMID35230686

What OpenQuestion holds

Textmetadata
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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.