Evidence map›Paper›PMID 31680154›Full record

ArticleNucleic acids research2020

TDR Targets 6: driving drug discovery for human pathogens through intensive chemogenomic data integration.

Lionel Urán Landaburu, Ariel J Berenstein, Santiago Videla, Parag Maru, Dhanasekaran Shanmugam, Ariel Chernomoretz, Fernán Agüero

Abstract read
In one paragraph

Article in Nucleic acids research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing 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

31 citing papers in PubMed.

  1. Article
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  3. New hit compounds againstAntimicrobial agents and chemotherapy · 2026
    Article
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  11. Article
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  13. Article
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  15. Article
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  18. Microbiology spectrum · 2022
    Article
  19. DissectingACS omega · 2022
    Article
  20. Antimicrobial Compounds from Microorganisms.Antibiotics (Basel, Switzerland) · 2022
    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

7 authors.

Lionel Urán LandaburuInstituto de Investigaciones Biotecnológicas "Rodolfo Ugalde" (IIB), Universidad de San Martín, San Martín, B1650HMP, Buenos Aires, Argentina.
Ariel J BerensteinFundación Instituto Leloir, Patricias Argentinas 435, Ciudad Autónoma de Buenos Aires, Argentina.
Santiago VidelaFundación Instituto Leloir, Patricias Argentinas 435, Ciudad Autónoma de Buenos Aires, Argentina.
Parag MaruBiochemical Sciences Division, CSIR- National Chemical Laboratory, Pune, India.
Dhanasekaran ShanmugamBiochemical Sciences Division, CSIR- National Chemical Laboratory, Pune, India.
Ariel ChernomoretzFundación Instituto Leloir, Patricias Argentinas 435, Ciudad Autónoma de Buenos Aires, Argentina.
Fernán AgüeroInstituto de Investigaciones Biotecnológicas "Rodolfo Ugalde" (IIB), Universidad de San Martín, San Martín, B1650HMP, Buenos Aires, Argentina.

Funding

Wellcome Trust
6 · The paper itself

Abstract

The volume of biological, chemical and functional data deposited in the public domain is growing rapidly, thanks to next generation sequencing and highly-automated screening technologies. These datasets represent invaluable resources for drug discovery, particularly for less studied neglected disease pathogens. To leverage these datasets, smart and intensive data integration is required to guide computational inferences across diverse organisms. The TDR Targets chemogenomics resource integrates genomic data from human pathogens and model organisms along with information on bioactive compounds and their annotated activities. This report highlights the latest updates on the available data and functionality in TDR Targets 6. Based on chemogenomic network models providing links between inhibitors and targets, the database now incorporates network-driven target prioritizations, and novel visualizations of network subgraphs displaying chemical- and target-similarity neighborhoods along with associated target-compound bioactivity links. Available data can be browsed and queried through a new user interface, that allow users to perform prioritizations of protein targets and chemical inhibitors. As such, TDR Targets now facilitates the investigation of drug repurposing against pathogen targets, which can potentially help in identifying candidate targets for bioactive compounds with previously unknown targets. TDR Targets is available at https://tdrtargets.org.

Indexed as

Databases, FactualSoftwareCheminformaticsComputational BiologyDrug DiscoveryDrug RepositioningGenomeGenomicsHumansSearch EngineSoftware DesignUser-Computer Interface

Identifiers

PMID31680154
PMCPMC7145610

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.