xiVIEW:交联质谱数据可视化

IF 4.7 2区 生物学 Q1 BIOCHEMISTRY & MOLECULAR BIOLOGY
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引用次数: 0

摘要

交联质谱(MS)已成为阐明蛋白质复合物溶液内结构和蛋白质-蛋白质相互作用网络拓扑结构的重要技术。然而,不断扩大的用户群体缺乏一种综合的可视化工具来帮助他们利用交联数据研究生物机制。为了满足这一需求,我们开发了基于网络的应用程序 xiVIEW,旨在简化交联质谱数据分析。xiVIEW 提供了一个友好的用户界面,用于访问质谱数据的协调视图、网络可视化、从 UniProtKB 等可信资源库提取的注释以及可用的三维结构。根据交联质谱社区最近提出的建议,xiVIEW (i) 提供了一个符合标准的解析器,以改进数据整合;(ii) 提供了可访问的可视化工具。通过促进标准文件格式的采用和提供全面的可视化平台,xiVIEW 使实验人员和建模人员都能追求各自的研究兴趣。我们预计 xiVIEW 将推动交联质谱启发的研究,促进对复杂生物系统进行更广泛、更有效的研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

xiVIEW: Visualisation of Crosslinking Mass Spectrometry Data

xiVIEW: Visualisation of Crosslinking Mass Spectrometry Data

Crosslinking mass spectrometry (MS) has emerged as an important technique for elucidating the in-solution structures of protein complexes and the topology of protein–protein interaction networks. However, the expanding user community lacked an integrated visualisation tool that helped them make use of the crosslinking data for investigating biological mechanisms. We addressed this need by developing xiVIEW, a web-based application designed to streamline crosslinking MS data analysis, which we present here. xiVIEW provides a user-friendly interface for accessing coordinated views of mass spectrometric data, network visualisation, annotations extracted from trusted repositories like UniProtKB, and available 3D structures. In accordance with recent recommendations from the crosslinking MS community, xiVIEW (i) provides a standards compliant parser to improve data integration and (ii) offers accessible visualisation tools. By promoting the adoption of standard file formats and providing a comprehensive visualisation platform, xiVIEW empowers both experimentalists and modellers alike to pursue their respective research interests. We anticipate that xiVIEW will advance crosslinking MS-inspired research, and facilitate broader and more effective investigations into complex biological systems.

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来源期刊
Journal of Molecular Biology
Journal of Molecular Biology 生物-生化与分子生物学
CiteScore
11.30
自引率
1.80%
发文量
412
审稿时长
28 days
期刊介绍: Journal of Molecular Biology (JMB) provides high quality, comprehensive and broad coverage in all areas of molecular biology. The journal publishes original scientific research papers that provide mechanistic and functional insights and report a significant advance to the field. The journal encourages the submission of multidisciplinary studies that use complementary experimental and computational approaches to address challenging biological questions. Research areas include but are not limited to: Biomolecular interactions, signaling networks, systems biology; Cell cycle, cell growth, cell differentiation; Cell death, autophagy; Cell signaling and regulation; Chemical biology; Computational biology, in combination with experimental studies; DNA replication, repair, and recombination; Development, regenerative biology, mechanistic and functional studies of stem cells; Epigenetics, chromatin structure and function; Gene expression; Membrane processes, cell surface proteins and cell-cell interactions; Methodological advances, both experimental and theoretical, including databases; Microbiology, virology, and interactions with the host or environment; Microbiota mechanistic and functional studies; Nuclear organization; Post-translational modifications, proteomics; Processing and function of biologically important macromolecules and complexes; Molecular basis of disease; RNA processing, structure and functions of non-coding RNAs, transcription; Sorting, spatiotemporal organization, trafficking; Structural biology; Synthetic biology; Translation, protein folding, chaperones, protein degradation and quality control.
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