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药物靶点的网络邻居有助于药物副作用的相似性。

Network neighbors of drug targets contribute to drug side-effect similarity.

机构信息

Structural and Computational Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany.

出版信息

PLoS One. 2011;6(7):e22187. doi: 10.1371/journal.pone.0022187. Epub 2011 Jul 13.

Abstract

In pharmacology, it is essential to identify the molecular mechanisms of drug action in order to understand adverse side effects. These adverse side effects have been used to infer whether two drugs share a target protein. However, side-effect similarity of drugs could also be caused by their target proteins being close in a molecular network, which as such could cause similar downstream effects. In this study, we investigated the proportion of side-effect similarities that is due to targets that are close in the network compared to shared drug targets. We found that only a minor fraction of side-effect similarities (5.8 %) are caused by drugs targeting proteins close in the network, compared to side-effect similarities caused by overlapping drug targets (64%). Moreover, these targets that cause similar side effects are more often in a linear part of the network, having two or less interactions, than drug targets in general. Based on the examples, we gained novel insight into the molecular mechanisms of side effects associated with several drug targets. Looking forward, such analyses will be extremely useful in the process of drug development to better understand adverse side effects.

摘要

在药理学中,确定药物作用的分子机制对于了解不良反应至关重要。这些不良反应已被用于推断两种药物是否具有共同的靶蛋白。然而,药物的副作用相似性也可能是由于它们的靶蛋白在分子网络中接近,从而导致类似的下游效应。在这项研究中,我们调查了由于靶蛋白在网络中接近而导致的副作用相似性与由于共享药物靶标而导致的副作用相似性的比例。我们发现,与重叠的药物靶标(64%)引起的副作用相似性相比,仅一小部分副作用相似性(5.8%)是由靶向网络中接近的蛋白质的药物引起的。此外,这些导致相似副作用的靶标更经常处于网络的线性部分,具有两个或更少的相互作用,而不是一般的药物靶标。基于这些例子,我们对与几个药物靶标相关的副作用的分子机制有了新的认识。展望未来,此类分析在药物开发过程中非常有用,可以更好地了解不良反应。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a5b4/3135612/9c6de4ac5b96/pone.0022187.g001.jpg

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