Antiviral drug discovery strategy using combinatorial libraries of structurally constrained peptides

使用结构受限肽组合库的抗病毒药物发现策略

阅读:5
作者:Eléonore Real, Jean-Christophe Rain, Véronique Battaglia, Corinne Jallet, Pierre Perrin, Noël Tordo, Peggy Chrisment, Jacques D'Alayer, Pierre Legrain, Yves Jacob

Abstract

We have developed a new strategy for antiviral peptide discovery by using lyssaviruses (rabies virus and rabies-related viruses) as models. Based on the mimicry of natural bioactive peptides, two genetically encoded combinatorial peptide libraries composed of intrinsically constrained peptides (coactamers) were designed. Proteomic knowledge concerning the functional network of interactions in the lyssavirus transcription-replication complex highlights the phosphoprotein (P) as a prime target for inhibitors of viral replication. We present an integrated, sequential drug discovery process for selection of peptides with antiviral activity directed against the P. Our approach combines (i). an exhaustive two-hybrid selection of peptides binding two phylogenetically divergent lyssavirus P's, (ii). a functional analysis of protein interaction inhibition in a viral reverse genetic assay, coupled with a physical analysis of viral nucleoprotein-P complex by protein chip mass spectrometry, and (iii). an assay for inhibition of lyssavirus infection in mammalian cells. The validity of this strategy was demonstrated by the identification of four peptides exhibiting an efficient antiviral activity. Our work highlights the importance of P as a target in anti-rabies virus drug discovery. Furthermore, the screening strategy and the coactamer libraries presented in this report could be considered, respectively, a general target validation strategy and a potential source of biologically active peptides which could also help to design pharmacologically active peptide-mimicking molecules. The strategy described here is easily applicable to other pathogens.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。