PhIN: A Protein Pharmacology Interaction Network Database.
PhIN: A Protein Pharmacology Interaction Network Database.
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Phin：蛋白质药理学相互作用网络数据库。
DOI：
10.1002/psp4.25
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发表时间：
2015-03
影响因子：
3.5
通讯作者：
Lin, J
中科院分区：
文献类型：
--
作者：
Wang, Z;Li, J;Dang, R;Liang, L;Lin, J
网络药理学是药物发现领域的一个新的热点概念，它能够研究药物的复杂性，在药物开发中发挥着越来越重要的作用。在这里，我们报告了一个蛋白质药理学相互作用网络数据库（PhIN），旨在通过提供全面和灵活的网络药理学分析来帮助多靶点药物发现。总体而言，PhIN包含1，126，060个共享化合物的靶标-靶标相互作用对和3，428，020个共享支架对，涉及12，419，700个活性数据，9，414个靶标，314个病毒靶标，652个途径，1，359，400个化合物和309，556个支架。使用PhIN，用户可以通过定义活性截止值下共享化合物或支架的数量，获得人类和病毒之间的人类途径内或跨人类途径的相互作用靶网络。我们希望PhIN成为多靶点药物开发的有用工具。PhIN可在http://cadd.pharmacy.nankai.edu.cn/phin/上免费获得。
Network pharmacology is a new and hot concept in drug discovery for its ability to investigate the complexity of polypharmacology, and becomes more and more important in drug development. Here we report a protein pharmacology interaction network database (PhIN), aiming to assist multitarget drug discovery by providing comprehensive and flexible network pharmacology analysis. Overall, PhIN contains 1,126,060 target–target interaction pairs in terms of shared compounds and 3,428,020 pairs in terms of shared scaffolds, which involve 12,419,700 activity data, 9,414 targets, 314 viral targets, 652 pathways, 1,359,400 compounds, and 309,556 scaffolds. Using PhIN, users can obtain interacting target networks within or across human pathways, between human and virus, by defining the number of shared compounds or scaffolds under an activity cutoff. We expect PhIN to be a useful tool for multitarget drug development. PhIN is freely available at http://cadd.pharmacy.nankai.edu.cn/phin/.