Suppr超能文献

针对剪接机器保守的活性位点,用特异性和选择性的小分子调节剂进行靶向调控。

Targeting the conserved active site of splicing machines with specific and selective small molecule modulators.

机构信息

Laboratory of Molecular Modelling & Drug Discovery, Istituto Italiano di Tecnologia, Via Morego 30, 16163, Genoa, Italy.

European Molecular Biology Laboratory (EMBL) Grenoble, 71 Avenue des Martyrs, Grenoble, 38042, France.

出版信息

Nat Commun. 2024 Jun 19;15(1):4980. doi: 10.1038/s41467-024-48697-0.

Abstract

The self-splicing group II introns are bacterial and organellar ancestors of the nuclear spliceosome and retro-transposable elements of pharmacological and biotechnological importance. Integrating enzymatic, crystallographic, and simulation studies, we demonstrate how these introns recognize small molecules through their conserved active site. These RNA-binding small molecules selectively inhibit the two steps of splicing by adopting distinctive poses at different stages of catalysis, and by preventing crucial active site conformational changes that are essential for splicing progression. Our data exemplify the enormous power of RNA binders to mechanistically probe vital cellular pathways. Most importantly, by proving that the evolutionarily-conserved RNA core of splicing machines can recognize small molecules specifically, our work provides a solid basis for the rational design of splicing modulators not only against bacterial and organellar introns, but also against the human spliceosome, which is a validated drug target for the treatment of congenital diseases and cancers.

摘要

自我剪接的 II 组内含子是核剪接体和具有药理学和生物技术重要性的 retro-transposable 元件的细菌和细胞器的祖先。通过整合酶学、晶体学和模拟研究,我们展示了这些内含子如何通过其保守的活性位点识别小分子。这些 RNA 结合小分子通过在不同催化阶段采用独特的构象选择性抑制剪接的两个步骤,并通过阻止对剪接进展至关重要的关键活性位点构象变化来发挥作用。我们的数据说明了 RNA 结合物在机械地探索重要细胞途径方面的巨大力量。最重要的是,通过证明进化上保守的剪接机器的 RNA 核心可以特异性识别小分子,我们的工作为合理设计剪接调节剂提供了坚实的基础,不仅可以针对细菌和细胞器内含子,还可以针对人类剪接体,后者是治疗先天性疾病和癌症的有效药物靶点。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/991d/11187226/db5d72fca62e/41467_2024_48697_Fig1_HTML.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验