Evidence map›Paper›PMID 26569405›Full record

ArticlePloS one2015

Identification of New Antifungal Compounds Targeting Thioredoxin Reductase of Paracoccidioides Genus.

Ana Karina Rodrigues Abadio, Erika Seki Kioshima, Vincent Leroux, Natalia Florêncio Martins, Bernard Maigret, Maria Sueli Soares Felipe

Abstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Review
  2. Covalent Inhibitors of KEAP1 with Exquisite Selectivity.Journal of medicinal chemistry · 2024
    Article
  3. Article
  4. Article
  5. One Century of Study: What We Learned aboutJournal of fungi (Basel, Switzerland) · 2021
    Review
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Proteomic Analysis ofFrontiers in microbiology · 2019
    Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. 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

6 authors.

Ana Karina Rodrigues AbadioDepartment of Biology, University of Mato Grosso State - UNEMAT, Nova Xavantina, Mato Grosso, Brazil.
Erika Seki KioshimaDepartment of Clinical Analysis and Biomedicine, State University of Maringá, Maringá, Paraná, Brazil.
Vincent LerouxLORIA, Lorraine University, Nancy, France.
Natalia Florêncio MartinsEmbrapa - Genetic Resources and Biotechnology, Brasília, Distrito Federal, Brazil.
Bernard MaigretLORIA, Lorraine University, Nancy, France.
Maria Sueli Soares FelipeDepartment of Cellular Biology, University of Brasília - UnB, Brasília, Distrito Federal, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The prevalence of invasive fungal infections worldwide has increased in the last decades. The development of specific drugs targeting pathogenic fungi without producing collateral damage to mammalian cells is a daunting pharmacological challenge. Indeed, many of the toxicities and drug interactions observed with contemporary antifungal therapies can be attributed to "nonselective" interactions with enzymes or cell membrane systems found in mammalian host cells. A computer-aided screening strategy against the TRR1 protein of Paracoccidioides lutzii is presented here. Initially, a bank of commercially available compounds from Life Chemicals provider was docked to model by virtual screening simulations. The small molecules that interact with the model were ranked and, among the best hits, twelve compounds out of 3,000 commercially-available candidates were selected. These molecules were synthesized for validation and in vitro antifungal activity assays for Paracoccidioides lutzii and P. brasiliensis were performed. From 12 molecules tested, 3 harbor inhibitory activity in antifungal assays against the two pathogenic fungi. Corroborating these findings, the molecules have inhibitory activity against the purified recombinant enzyme TRR1 in biochemical assays. Therefore, a rational combination of molecular modeling simulations and virtual screening of new drugs has provided a cost-effective solution to an early-stage medicinal challenge. These results provide a promising technique to the development of new and innovative drugs.

Indexed as

AnimalsAntifungal AgentsBiological AssayCell DeathCell LineDrug Evaluation, PreclinicalEnzyme AssaysEnzyme InhibitorsLigandsMiceMicrobial Sensitivity TestsMolecular Docking SimulationMolecular Dynamics SimulationParacoccidioidesRecombinant ProteinsSmall Molecule LibrariesAntifungal AgentsEnzyme InhibitorsLigandsRecombinant ProteinsSmall Molecule LibrariesThioredoxin-Disulfide Reductase

Identifiers

PMID26569405
PMCPMC4646694

What OpenQuestion holds

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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.