PubAngioGen: a database and knowledge for angiogenesis and related diseases.
PubAngioGen: a database and knowledge for angiogenesis and related diseases.
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PubAngioGen：血管生成和相关疾病的数据库和知识
DOI：
10.1093/nar/gku1139
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发表时间：
2015-01
影响因子：
14.9
通讯作者：
Yi Z
中科院分区：
文献类型：
--
作者：
Li P;Liu Y;Wang H;He Y;Wang X;He Y;Lv F;Chen H;Pang X;Liu M;Shi T;Yi Z
血管生成是在现有血管的基础上生成新血管的过程，与癌症、心血管疾病和糖尿病等多种疾病有关。近年来，人们对各种疾病的血管生成机制进行了大量的研究，并发现了许多血管生成因子作为抗或促血管生成药物开发的靶点。然而，所得到的信息分布稀少，没有进行系统的总结。为了整合这些相关结果，方便社区的研究，我们对已发表的文献进行了人工文本挖掘，并建立了一个名为PubAngioGen(http://www.megabionet.org/aspd/).)的数据库我们的在线应用程序展示了一个全面的网络，用于在多个水平上探索血管生成和疾病之间的联系，包括通过文本挖掘记录的各种细胞和动物模型之间的蛋白质-蛋白质相互作用、药物-靶点、疾病-基因和信号通路。为了扩大PubAngioGen的应用范围，我们的数据库还链接到其他通用资源，包括STRING、DrugBank和OMIM数据库，这将有助于了解临床治疗中血管生成和药物开发的潜在分子机制。
Angiogenesis is the process of generating new blood vessels based on existing ones, which is involved in many diseases including cancers, cardiovascular diseases and diabetes mellitus. Recently, great efforts have been made to explore the mechanisms of angiogenesis in various diseases and many angiogenic factors have been discovered as therapeutic targets in anti- or pro-angiogenic drug development. However, the resulted information is sparsely distributed and no systematical summarization has been made. In order to integrate these related results and facilitate the researches for the community, we conducted manual text-mining from published literature and built a database named as PubAngioGen (http://www.megabionet.org/aspd/). Our online application displays a comprehensive network for exploring the connection between angiogenesis and diseases at multilevels including protein–protein interaction, drug-target, disease-gene and signaling pathways among various cells and animal models recorded through text-mining. To enlarge the scope of the PubAngioGen application, our database also links to other common resources including STRING, DrugBank and OMIM databases, which will facilitate understanding the underlying molecular mechanisms of angiogenesis and drug development in clinical therapy.
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影响因子：
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作者：
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通讯作者：
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作者：
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作者：
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影响因子：
14.9
作者：
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