In BATMAN-TCM, the query TCM formula/herb will be first transferred into a list of compositive compounds based on the formula-herb-ingredient association data collected and integrated by TCMID database, and then for each ingredient, candidate targets will be predicted based on our target prediction method (see details about the method in Tutorials).
Thank you very much for your comments!
Thanks for your question. The ingredient list of the formula and herb are backed by TCMID data.
The formula-herb-ingredient association relationships in BATMAN-TCM are backed by TCMID database, including 46914 formulas and 8159 herbs. For those formulas or herbs not backed by TCMID database, you can input the herb list of your formula or the compound list of your formula/herb to analyze the herb/formula.
Sorry for the late reply. Thanks for your comments. Yes, now batman-tcm website can only analyze no more than 4 herbs at the same time. If you want to compare >4 herbs, now only by submitting several times can you achieve it. We are also considering improving this.
Sorry for the late reply. Thanks for your comments. I guess that maybe these missed herbs in fact are not in our background database. For these herbs not in our database, you can input their compositive compound lists to analyze them. Welcome further communication by email (firstname.lastname@example.org) at any time.
For a compound not in the PubChem database, you can submit its chemical structure of InChI format by the input type of "compound list". If you have a compound represented by other types of format, you can use OpenBabel to transfer it into InChI. Welcome further communication by email@example.com at any time.
Sorry, currently there is no API for BATMAN-TCM.
Sorry for the late reply. For the herb not in our database, you can input the compound list of the herb using the "compound list" input type to analyze it. Welcome further timely communication by firstname.lastname@example.org .
Sorry for the late reply! Thanks for your suggestion. Because of the backstage mechanism of our website, lower cutoff will significantly low the speed of our website. However, the downloadable target prediction results on the result page indeed include all predicted targets without cutoff limitation. Welcome further communication by email@example.com
Thanks for your comments. Last update: Jan. 2016
Thanks for your question. As I know, recently TCMID database has been updated into version 2. But unfortunately our backstage database has not been updated timely as the update of TCMID. I think this may lead to your question. Facing this condition, you can use the input type of "compound list" to input the structural data of your ingredient list to do the following analyses by BATMAN-TCM. And we will also update our backstage data as soon as possible. Welcome further communication by firstname.lastname@example.org
Thank you for the use. There is indeed a bug in this function which we will amend it soon. But if you download this graph, the downloaded graph will give the names of nodes. Please try! Thank you!
I am so sorry. There is indeed a bug here. We will fix it soon
Thanks for your comments. Just recently, we obtain a new funding. We plan to update BATMAN soon.
Sorry for the late reply. Owing to some limitation such as hardware, currently only a network containing no more than 400 nodes can been presented in BATMAN-TCM. Recently the network download function indeed doesn't work well. We will fix it soon.
Sorry for the late reply. Welcome further communication by email@example.com, by which you will obtain faster reply. BATMAN-TCM does provide comparison function of different herbs by the “Add one cluster” button on the homepage and also provide the venn graph of target sets of different herbs. But unfortunately currently we don’t provide the download function of the venn graph. You can “PrtSc” it. Recently we plan to improve BATMAN, and the download function will be provided. Thank you for your suggestion.
Yes, BATMAN-TCM provides the comparison analysis function between multiple different herbs. Compared with "one by one" analyses results, more results for comparison will be provided including venn graph between target sets of different herbs, KEGG pathway graph in which targets of different herbs will be highlighted with different colors.
Attention: You might obtain late reply here. If a fast reply is required, please use firstname.lastname@example.org. Thank you!
Contact: Zhongyang Liu, email@example.com, Beijing Proteome Research Center, Beijing, China.