ASDCD: antifungal synergistic drug combination database.
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.
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.
Xing
X
Chen
University of Chinese Academy of Sciences, Beijing, P. R. China ; South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou, P. R. China.
Biao
B
Ren
Chinese Academy of Sciences Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, P. R. China.
Ming
M
Chen
Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing, P. R. China ; University of Chinese Academy of Sciences, Beijing, P. R. China.
Ming-Xi
MX
Liu
Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing, P. R. China.
Wei
W
Ren
School of Life Science, University of Science and Technology of China, Hefei, P.R. China.
Quan-Xin
QX
Wang
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.
Li-Xin
LX
Zhang
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.
Gui-Ying
GY
Yan
D000935:Antifungal Agents / Q000737:chemistry / Q000494:pharmacology*; D062313:Databases, Pharmaceutical; D004357:Drug Synergism; D004359:Drug Therapy, Combination; D005658:Fungi / Q000187:drug effects* / Q000378:metabolism / Q000472:pathogenicity; D006801:Humans; D053858:Metabolic Networks and Pathways / Q000187:drug effects; D009181:Mycoses / Q000188:drug therapy* / Q000382:microbiology
D000935:Antifungal Agents