Evidence map›Paper›PMID 24475134›Full record

ArticlePloS one2014

ASDCD: antifungal synergistic drug combination database.

Xing Chen, Biao Ren, Ming Chen, Ming-Xi Liu, Wei Ren, Quan-Xin Wang, Li-Xin Zhang, Gui-Ying Yan

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
8.8field-weighted citation impact, top 2% 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

33 citing papers in PubMed, 84 citations in OpenAlex.

  1. Preventive action of ketamine alone and in combination with antifungals on Candida biofilm formation in catheters.International microbiology : the official journal of the Spanish Society for Microbiology · 2026
    Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Overcoming Drug Resistance in a ClinicalAntibiotics (Basel, Switzerland) · 2023
    Article
  7. Article
  8. Article
  9. Article
  10. ACDB: An Antibiotic Combination DataBase.Frontiers in pharmacology · 2022
    Article
  11. Review
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Combination Therapy to Treat Fungal Biofilm-Based Infections.International journal of molecular sciences · 2020
    Review
  18. Article
  19. Article
  20. CANCROX: a cross-species cancer therapy database.Database : the journal of biological databases and curation · 2019
    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

8 authors at 5 institutions in 1 country.

Xing ChenNational Centre for Mathematics and Interdisciplinary Sciences, Chinese Academy of Sciences, Beijing, P. R. China ; Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing, P. R. China.
Biao RenUniversity of Chinese Academy of Sciences, Beijing, P. R. China ; South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou, P. R. China.
Ming ChenChinese Academy of Sciences Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, P. R. China.
Ming-Xi LiuAcademy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing, P. R. China ; University of Chinese Academy of Sciences, Beijing, P. R. China.
Wei RenAcademy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing, P. R. China.
Quan-Xin WangSchool of Life Science, University of Science and Technology of China, Hefei, P.R. China.
Li-Xin ZhangSouth China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou, P. R. China ; Chinese Academy of Sciences Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, P. R. China.
Gui-Ying YanNational Centre for Mathematics and Interdisciplinary Sciences, Chinese Academy of Sciences, Beijing, P. R. China ; Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing, P. R. China.
Chinese Academy of Sciences · CNAcademy of Mathematics and Systems Science · CNInstitute of Microbiology · CNInstitute of Oceanology · CNUniversity of Science and Technology of China · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Finding effective drugs to treat fungal infections has important clinical significance based on high mortality rates, especially in an immunodeficient population. Traditional antifungal drugs with single targets have been reported to cause serious side effects and drug resistance. Nowadays, however, drug combinations, particularly with respect to synergistic interaction, have attracted the attention of researchers. In fact, synergistic drug combinations could simultaneously affect multiple subpopulations, targets, and diseases. Therefore, a strategy that employs synergistic antifungal drug combinations could eliminate the limitations noted above and offer the opportunity to explore this emerging bioactive chemical space. However, it is first necessary to build a powerful database in order to facilitate the analysis of drug combinations. To address this gap in our knowledge, we have built the first Antifungal Synergistic Drug Combination Database (ASDCD), including previously published synergistic antifungal drug combinations, chemical structures, targets, target-related signaling pathways, indications, and other pertinent data. Its current version includes 210 antifungal synergistic drug combinations and 1225 drug-target interactions, involving 105 individual drugs from more than 12,000 references. ASDCD is freely available at http://ASDCD.amss.ac.cn.

Indexed as

Databases, PharmaceuticalAntifungal AgentsDrug SynergismDrug Therapy, CombinationFungiHumansMetabolic Networks and PathwaysMycosesAntifungal Agents

Identifiers

PMID24475134
PMCPMC3901703
OpenAlexW2069898171

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.