HIT: linking herbal active ingredients to targets.
HIT: linking herbal active ingredients to targets.
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HIT：将草药活性成分与目标联系起来
DOI：
10.1093/nar/gkq1165
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发表时间：
2011-01
影响因子：
14.9
通讯作者：
Cao Z
中科院分区：
文献类型：
--
作者：
Ye H;Ye L;Kang H;Zhang D;Tao L;Tang K;Liu X;Zhu R;Liu Q;Chen YZ;Li Y;Cao Z
蛋白质靶点和小分子的信息一直受到生物医学和药学研究的高度重视。一些蛋白质靶点数据库可在线获得FDA批准的药物以及有前途的前体，这在很大程度上促进了药物发现的机制研究和后续研究。然而，这些相关的资源，有关草药活性成分，虽然是异常珍贵的资源，为新药开发，很少发现。在这篇文章中，一个全面的和完全策展的数据库草药成分的目标（HIT，http：//lifecenter.sgst.cn/hit/）已经建成，以补充上述资源。那些含有蛋白质靶点信息的草药成分是经过精心挑选的。分子靶信息涉及那些被直接/间接激活/抑制的蛋白质、蛋白质结合剂和其底物或产物是这些化合物的酶。这些上调/下调的基因也包括在单个成分的处理下。此外，还提供了实验条件、观察到的生物活性和各种参考文献，供用户参考。它来源于3250多篇文献，目前包含5208条关于1301个已知蛋白质靶点的条目（其中221个被描述为直接靶点）受到来自1300多种著名中草药的586种草药化合物的影响，与治疗靶点数据库（TTD）中的280个治疗靶点重叠，DrugBank中的445个蛋白质靶点对应1488种药物。可以通过关键字搜索或相似性搜索查询数据库。与TTD、DrugBank、KEGG、PDB、Uniprot、Pfam、NCBI、TCM-ID和其他数据库建立了交叉链接。
The information of protein targets and small molecule has been highly valued by biomedical and pharmaceutical research. Several protein target databases are available online for FDA-approved drugs as well as the promising precursors that have largely facilitated the mechanistic study and subsequent research for drug discovery. However, those related resources regarding to herbal active ingredients, although being unusually valued as a precious resource for new drug development, is rarely found. In this article, a comprehensive and fully curated database for Herb Ingredients’ Targets (HIT, http://lifecenter.sgst.cn/hit/) has been constructed to complement above resources. Those herbal ingredients with protein target information were carefully curated. The molecular target information involves those proteins being directly/indirectly activated/inhibited, protein binders and enzymes whose substrates or products are those compounds. Those up/down regulated genes are also included under the treatment of individual ingredients. In addition, the experimental condition, observed bioactivity and various references are provided as well for user's reference. Derived from more than 3250 literatures, it currently contains 5208 entries about 1301 known protein targets (221 of them are described as direct targets) affected by 586 herbal compounds from more than 1300 reputable Chinese herbs, overlapping with 280 therapeutic targets from Therapeutic Targets Database (TTD), and 445 protein targets from DrugBank corresponding to 1488 drug agents. The database can be queried via keyword search or similarity search. Crosslinks have been made to TTD, DrugBank, KEGG, PDB, Uniprot, Pfam, NCBI, TCM-ID and other databases.
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影响因子：
14.9
作者：
Kanehisa M;Araki M;Goto S;Hattori M;Hirakawa M;Itoh M;Katayama T;Kawashima S;Okuda S;Tokimatsu T;Yamanishi Y
通讯作者：
Yamanishi Y
TarFisDock：通过对接方法识别药物靶标的网络服务器
影响因子：
14.9
作者：
Li H;Gao Z;Kang L;Zhang H;Yang K;Yu K;Luo X;Zhu W;Chen K;Shen J;Wang X;Jiang H
通讯作者：
Jiang H
影响因子：
14.9
作者：
Kuhn M;Szklarczyk D;Franceschini A;Campillos M;von Mering C;Jensen LJ;Beyer A;Bork P
通讯作者：
Bork P
影响因子：
14.9
作者：
Lim E;Pon A;Djoumbou Y;Knox C;Shrivastava S;Guo AC;Neveu V;Wishart DS
通讯作者：
Wishart DS
影响因子：
5.6
作者：
Ehrman, Thomas M.;Barlow, David J.;Hylands, Peter J.
通讯作者：
Hylands, Peter J.