Peragovics Agnes, Simon Zoltan, Malnasi-Csizmadia Andras, Bender Andreas
Printnet Ltd., Petnehazy utca 52, H-1139 Budapest, Hungary.
Curr Pharm Des. 2016;22(46):6885-6894. doi: 10.2174/1381612822666160831104718.
Single target based approaches often proved to be unsuccessful in complex multigenic diseases such as cancer or schizophrenia. Multi-target drugs can be more efficacious in this regard by modulating multiple processes in the organism. According to the theory of polypharmacology, bioactive molecules possess characteristic interaction patterns that are responsible for their effects and side-effects and getting acquainted with this typical profile is increasingly desired to promote pharmaceutical research and development. There is a novel way of approaching polypharmacology that takes into account the interaction of molecules to a set of proteins that are not necessarily known biological targets of the compounds. Applying a carefully selected panel of proteins that can model the possible interactions a molecule can exert when administered to a human body, holds out a promise of biological activity prediction. This review aims to summarize a number of such bioactivity profiling-based approaches set up recently and present their application areas within the drug discovery field.
基于单一靶点的方法在诸如癌症或精神分裂症等复杂多基因疾病中往往被证明是不成功的。在这方面，多靶点药物通过调节生物体中的多个过程可能更有效。根据多药理学理论，生物活性分子具有特征性的相互作用模式，这些模式决定了它们的作用和副作用，并且越来越需要了解这种典型特征以促进药物研发。有一种新的多药理学研究方法，它考虑了分子与一组蛋白质的相互作用，而这些蛋白质不一定是化合物已知的生物学靶点。应用一组经过精心挑选的蛋白质，这些蛋白质可以模拟分子在施用于人体时可能产生的相互作用，有望实现生物活性预测。本综述旨在总结最近建立的一些基于生物活性谱分析的方法，并介绍它们在药物发现领域的应用领域。
