Evidence map›Paper›PMID 20495663›Full record

ArticleDrugs of the future2010

Peptide-based Antifungal Therapies against Emerging Infections.

A Matejuk, Q Leng, M D Begum, M C Woodle, P Scaria, S-T Chou, A J Mixson

Open access · greenAbstract read
In one paragraph

Article in Drugs of the future, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 66 papers.

0numbers the graph read from it
0cells of the map it votes in
66citing papers in PubMed
4.3field-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

66 citing papers in PubMed, 136 citations in OpenAlex.

  1. Short Synthetic Lipopeptides CAntibiotics (Basel, Switzerland) · 2026
    Article
  2. Article
  3. Review
  4. Article
  5. Review
  6. Article
  7. Review
  8. Review
  9. Review
  10. Antifungal peptides from living organisms.Frontiers in microbiology · 2024
    Review
  11. Article
  12. Promising immunotherapeutic targets for treating candidiasis.Frontiers in cellular and infection microbiology · 2024
    Review
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. A review on antimicrobial peptides databases and the computational tools.Database : the journal of biological databases and curation · 2022
    Review
  19. Review
  20. Article

6 more citing papers are in PubMed but not listed here.

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 at 2 institutions in 1 country.

A MatejukDepartment of Pathology, University of Maryland Baltimore, MSTF Building, 10 South Pine Street, Baltimore, MD 21201, USA.
Q Leng
M D Begum
M C Woodle
P Scaria
S-T Chou
A J Mixson
University of Maryland, Baltimore · USAparnaBio (United States) · US

Funding

Gene Delivery of P53 in a Tumor-bearing Mouse ModelR01CA096984 · NCI · UNIVERSITY OF MARYLAND BALTIMORE · PI MIXSON, ARCHIBALD JAMES · 2004 to 2007
$1.1M
NCI NIH HHS R01 CA096984
6 · The paper itself

Abstract

Acquired drug resistance to mycotic infections is rapidly emerging as a major medical problem. Opportunistic fungal infections create therapeutic challenges, particularly in high risk immunocompromised patients with AIDS, cancer, and those undergoing transplantation. Higher mortality and/or morbidity rates due to invasive mycosis have been increasing over the last 20 years, and in light of growing resistance to commonly used antibiotics, novel antifungal drugs and approaches are required. Currently there is considerable interest in antifungal peptides that are ubiquitous in plant and animal kingdoms. These small cationic peptides may have specific targets or may be multifunctional in their mechanism of action. On the basis of recent advances in protein engineering and solid phase syntheses, the utility and potential of selected peptides as efficient antifungal drugs with acceptable toxicity profiles are being realized. This review will discuss recent advances in peptide therapy for opportunistic fungal infections.

Identifiers

PMID20495663
PMCPMC2873032
OpenAlexW2080934964

What OpenQuestion holds

Textmetadata
LicenceTDM
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.