The topology of drug-target interaction networks: implicit dependence on drug properties and target families
The topology of drug-target interaction networks: implicit dependence on drug properties and target families
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DOI：
10.1039/b905821b
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发表时间：
2009-01-01
影响因子：
--
通讯作者：
Sole, Ricard V.
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文献类型：
--
作者：
Mestres, Jordi;Gregori-Puigjane, Elisabet;Sole, Ricard V.
近年来，小分子药物和蛋白质靶标之间相互作用数据的可用性大幅增加。使用7个不同的数据库，我们能够汇集802种药物和480个靶点之间总共4767个独特的相互作用，这意味着目前平均每种药物都被认为与6个靶点相互作用。应用网络理论来分析这些数据，揭示了药物与靶标相互作用的一幅出人意料的复杂图景。结果证实，药物-靶点网络的拓扑结构隐含地依赖于数据的完整性、药物的性质和靶点家族。对药物发现的意义进行了讨论。
The availability of interaction data between small molecule drugs and protein targets has increased substantially in recent years. Using seven different databases, we were able to assemble a total of 4767 unique interactions between 802 drugs and 480 targets, which means that on average every drug is currently acknowledged to interact with 6 targets. The application of network theory to the analysis of these data reveals an unexpectedly complex picture of drug-target interactions. The results confirm that the topology of drug-target networks depends implicitly on data completeness, drug properties, and target families. The implications for drug discovery are discussed.