Suppr超能文献

致病突变对蛋白质结构网络的影响。

Influence of Disease-Causing Mutations on Protein Structural Networks.

作者信息

Prabantu Vasam Manjveekar, Naveenkumar Nagarajan, Srinivasan Narayanaswamy

机构信息

Molecular Biophysics Unit, Indian Institute of Science, Bangalore, India.

National Centre for Biological Sciences, TIFR, Bangalore, India.

出版信息

Front Mol Biosci. 2021 Mar 10;7:620554. doi: 10.3389/fmolb.2020.620554. eCollection 2020.

Abstract

The interactions between residues in a protein tertiary structure can be studied effectively using the approach of protein structure network (PSN). A PSN is a node-edge representation of the structure with nodes representing residues and interactions between residues represented by edges. In this study, we have employed weighted PSNs to understand the influence of disease-causing mutations on proteins of known 3D structures. We have used manually curated information on disease mutations from UniProtKB/Swiss-Prot and their corresponding protein structures of wildtype and disease variant from the protein data bank. The PSNs of the wildtype and disease-causing mutant are compared to analyse variation of global and local dissimilarity in the overall network and at specific sites. We study how a mutation at a given site can affect the structural network at a distant site which may be involved in the function of the protein. We have discussed specific examples of the disease cases where the protein structure undergoes limited structural divergence in their backbone but have large dissimilarity in their all atom networks and vice versa, wherein large conformational alterations are observed while retaining overall network. We analyse the effect of variation of network parameters that characterize alteration of function or stability.

摘要

利用蛋白质结构网络(PSN)方法可以有效地研究蛋白质三级结构中残基之间的相互作用。PSN是一种结构的节点-边表示形式,其中节点代表残基,残基之间的相互作用由边表示。在本研究中,我们采用加权PSN来了解致病突变对已知三维结构蛋白质的影响。我们使用了来自UniProtKB/Swiss-Prot的关于疾病突变的人工整理信息,以及来自蛋白质数据库的野生型和疾病变体的相应蛋白质结构。比较野生型和致病突变体的PSN,以分析整个网络和特定位点上全局和局部差异的变化。我们研究给定位点的突变如何影响可能参与蛋白质功能的远处位点的结构网络。我们讨论了疾病病例的具体例子,其中蛋白质结构在其主链中经历有限的结构差异,但在其全原子网络中具有很大的差异,反之亦然,即在保留整体网络的同时观察到较大的构象改变。我们分析了表征功能或稳定性改变的网络参数变化的影响。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7575/7987782/fc754d507c03/fmolb-07-620554-g001.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验