This web server is built and free for academics. For commercial use, please contact us!
For better user experience, Chrome is recommended to navigate BATMAN-TCM.
raditional Chinese Medicine (TCM), with a history of thousands of years of clinical practice, plays an important role in maintaining the health of peoples of Asia, and is gaining more and more application all over the world. However, owing to the diversity of TCM’s ingredients and the complexity of TCM’s interaction with human body, it is still quite difficult to uncover the underlying molecular mechanism of TCM. The clarification of the TCM’s molecular mechanism has become a bottleneck in TCM modernization and internationalization. BATMAN-TCM
ool for M
ism of T
edicine) is the first online bioinformatics analysis tool specially designed for the research of molecular mechanism of TCM.
or user-submitted TCM, BATMAN-TCM will first predict potential targets for each query TCM’s ingredient, and then perform functional analyses on these targets including Gene Ontology (GO) term, KEGG pathway and OMIM/TTD disease enrichment analyses. TCM ingredient-target-pathway/disease association network and biological pathway with highlighted TCM’s targets will also be shown. These functions aim to contribute to the understanding of the “multi-component, multi-target and multi-pathway” combinational therapeutic mechanism of TCM and to provide clues for the following experimental validation. In addition, BATMAN-TCM also supports users to simultaneously input multiple TCMs, which is typically used to simultaneously analyze multiple compositive herbs of a formula, helping understand this combinational principle of a formula from molecular and systematic level.
lease see “Tutorials”
for more information.
very user’s submitted data will be kept private and not viewable by anyone other than the user or those given permission by the user.
Related web server
Please cite: Liu Z, Guo F, Wang Y, Li C, Zhang X, Li H, Diao L, Gu J, Wang W, Li D, He F. BATMAN-TCM: a Bioinformatics Analysis Tool for Molecular mechANism of Traditional Chinese Medicine. Sci Rep. 2016, 6:21146.