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Chen X, Ren B, Chen M, et al. ASDCD: antifungal synergistic drug combination database. PLoS One. 2014;9(1):e86499doi: 10.1371/journal.pone.0086499.
Chen, X., Ren, B., Chen, M., Liu, M. X., Ren, W., Wang, Q. X., Zhang, L. X., & Yan, G. Y. (2014). ASDCD: antifungal synergistic drug combination database. PloS one, 9(1), e86499. https://doi.org/10.1371/journal.pone.0086499
Chen, Xing, et al. "ASDCD: antifungal synergistic drug combination database." PloS one vol. 9,1 (2014): e86499. doi: https://doi.org/10.1371/journal.pone.0086499
Chen X, Ren B, Chen M, Liu MX, Ren W, Wang QX, Zhang LX, Yan GY. ASDCD: antifungal synergistic drug combination database. PLoS One. 2014 Jan 24;9(1):e86499. doi: 10.1371/journal.pone.0086499. eCollection 2014. PMID: 24475134; PMCID: PMC3901703.
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PLoS One. 2014 Jan 24;9(1):e86499. doi: 10.1371/journal.pone.0086499. eCollection 2014.

ASDCD: antifungal synergistic drug combination database.

PloS one

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

Affiliations

  1. National 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.
  2. University of Chinese Academy of Sciences, Beijing, P. R. China ; South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou, P. R. China.
  3. Chinese Academy of Sciences Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, P. R. China.
  4. Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing, P. R. China ; University of Chinese Academy of Sciences, Beijing, P. R. China.
  5. Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing, P. R. China.
  6. School of Life Science, University of Science and Technology of China, Hefei, P.R. China.
  7. South 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.

PMID: 24475134 PMCID: PMC3901703 DOI: 10.1371/journal.pone.0086499

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.

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