Evidence map›Paper›PMID 27379244›Full record

ArticleFrontiers in molecular biosciences2016

Systematic Identification of Anti-Fungal Drug Targets by a Metabolic Network Approach.

Martin Kaltdorf, Mugdha Srivastava, Shishir K Gupta, Chunguang Liang, Jasmin Binder, Anna-Maria Dietl, Zohar Meir, Hubertus Haas, Nir Osherov, Sven Krappmann and 1 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in molecular biosciences, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
4.2field-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

20 citing papers in PubMed, 44 citations in OpenAlex.

  1. Article
  2. A Limited Number of Amino Acid Permeases Are Crucial forInternational journal of microbiology · 2024
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  4. Alveolar Regeneration in COVID-19 Patients: A Network Perspective.International journal of molecular sciences · 2021
    Review
  5. Microorganisms · 2021
    Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Frontiers in cellular and infection microbiology · 2019
    Article
  13. Article
  14. Identification of Antifungal Targets Based on Computer Modeling.Journal of fungi (Basel, Switzerland) · 2018
    Review
  15. Article
  16. Lipid Biosynthesis as an Antifungal Target.Journal of fungi (Basel, Switzerland) · 2018
    Review
  17. Article
  18. Review
  19. Review
  20. 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

11 authors at 4 institutions in 3 countries.

Martin KaltdorfDepartment of Bioinformatics, Biocenter, University of Würzburg Würzburg, Germany.
Mugdha SrivastavaDepartment of Bioinformatics, Biocenter, University of Würzburg Würzburg, Germany.
Shishir K GuptaDepartment of Bioinformatics, Biocenter, University of Würzburg Würzburg, Germany.
Chunguang LiangDepartment of Bioinformatics, Biocenter, University of Würzburg Würzburg, Germany.
Jasmin BinderMicrobiology Institute - Clinical Microbiology, Immunology and Hygiene, Friedrich-Alexander University Erlangen-Nürnberg, University Hospital of Erlangen Erlangen, Germany.
Anna-Maria DietlDivision of Molecular Biology/Biocenter, Medical University Innsbruck Innsbruck, Austria.
Zohar MeirAspergillus and Antifungal Research Laboratory, Department of Clinical Microbiology and Immunology, Sackler School of Medicine, Tel Aviv University Tel-Aviv, Israel.
Hubertus HaasDivision of Molecular Biology/Biocenter, Medical University Innsbruck Innsbruck, Austria.
Nir OsherovAspergillus and Antifungal Research Laboratory, Department of Clinical Microbiology and Immunology, Sackler School of Medicine, Tel Aviv University Tel-Aviv, Israel.
Sven KrappmannMicrobiology Institute - Clinical Microbiology, Immunology and Hygiene, Friedrich-Alexander University Erlangen-Nürnberg, University Hospital of Erlangen Erlangen, Germany.
Thomas DandekarDepartment of Bioinformatics, Biocenter, University of Würzburg Würzburg, Germany.
University of Würzburg · DEFriedrich-Alexander-Universität Erlangen-Nürnberg · DEInnsbruck Medical University · ATTel Aviv University · IL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

New antimycotic drugs are challenging to find, as potential target proteins may have close human orthologs. We here focus on identifying metabolic targets that are critical for fungal growth and have minimal similarity to targets among human proteins. We compare and combine here: (I) direct metabolic network modeling using elementary mode analysis and flux estimates approximations using expression data, (II) targeting metabolic genes by transcriptome analysis of condition-specific highly expressed enzymes, and (III) analysis of enzyme structure, enzyme interconnectedness ("hubs"), and identification of pathogen-specific enzymes using orthology relations. We have identified 64 targets including metabolic enzymes involved in vitamin synthesis, lipid, and amino acid biosynthesis including 18 targets validated from the literature, two validated and five currently examined in own genetic experiments, and 38 further promising novel target proteins which are non-orthologous to human proteins, involved in metabolism and are highly ranked drug targets from these pipelines.

Indexed as

antimycoticsfungicideinteractionmetabolismmodelingstructuretargets

Identifiers

PMID27379244
PMCPMC4911368
OpenAlexW2435907709

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.