| Literature DB >> 20677374 |
Quanze He1, Wenjun Han, Quanyuan He, Linju Huo, Jingjing Zhang, Yong Lin, Ping Chen, Songping Liang.
Abstract
We have developed an updated version of the Animal Toxin Database (ATDB 2.0) that provides a new bioinformatics resource for analyzing toxin-channel (T-C) interactions. Data on more than 54,000 T-C interactions, including 9193 high-confidence interactions, has been extracted, formatted and mapped to toxin and ion channel databases. The interaction data can be accessed easily through a new network browser on the website at http://protchem.hunnu.edu.cn/toxin. This resource may be useful for sequence pattern recognition and prediction of the function of new toxins.Mesh：
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Year: 2010 PMID： 20677374 DOI： 10.1016/j.toxicon.2010.05.013
Source DB: PubMed Journal: Toxicon ISSN： 0041-0101 Impact factor: 3.033