Autophagy3D: a comprehensive autophagy structure database.

IF 3.4 4区 生物学 Q1 MATHEMATICAL & COMPUTATIONAL BIOLOGY
Neha, Jesu Castin, Saman Fatihi, Deepanshi Gahlot, Akanksha Arun, Lipi Thukral
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引用次数: 0

Abstract

Autophagy pathway plays a central role in cellular degradation. The proteins involved in the core autophagy process are mostly localised on membranes or interact indirectly with lipid-associated proteins. Therefore, progress in structure determination of 'core autophagy proteins' remained relatively limited. Recent paradigm shift in structural biology that includes cutting-edge cryo-EM technology and robust AI-based Alphafold2 predicted models has significantly increased data points in biology. Here, we developed Autophagy3D, a web-based resource that provides an efficient way to access data associated with 40 core human autophagic proteins (80322 structures), their protein-protein interactors and ortholog structures from various species. Autophagy3D also offers detailed visualizations of protein structures, and, hence deriving direct biological insights. The database significantly enhances access to information as full datasets are available for download. The Autophagy3D can be publicly accessed via https://autophagy3d.igib.res.in. Database URL: https://autophagy3d.igib.res.in.

Autophagy3D:一个全面的自噬结构数据库。
自噬途径在细胞降解过程中发挥着核心作用。参与核心自噬过程的蛋白质大多定位于膜上或与脂质相关蛋白质间接相互作用。因此,"核心自噬蛋白 "的结构测定进展仍然相对有限。最近,结构生物学的模式发生了转变,包括尖端的低温电子显微镜技术和基于人工智能的强大 Alphafold2 预测模型,这大大增加了生物学中的数据点。在此,我们开发了 Autophagy3D,这是一种基于网络的资源,它提供了一种高效的方法来访问与 40 个核心人类自噬蛋白(80322 个结构)、它们的蛋白-蛋白互作物和来自不同物种的同源物结构相关的数据。Autophagy3D 还提供了详细的蛋白质结构可视化,因此可以直接获得生物学见解。由于可以下载完整的数据集,该数据库大大提高了信息的获取能力。可通过 https://autophagy3d.igib.res.in 公开访问 Autophagy3D。数据库网址:https://autophagy3d.igib.res.in。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Database: The Journal of Biological Databases and Curation
Database: The Journal of Biological Databases and Curation MATHEMATICAL & COMPUTATIONAL BIOLOGY-
CiteScore
9.00
自引率
3.40%
发文量
100
审稿时长
>12 weeks
期刊介绍: Huge volumes of primary data are archived in numerous open-access databases, and with new generation technologies becoming more common in laboratories, large datasets will become even more prevalent. The archiving, curation, analysis and interpretation of all of these data are a challenge. Database development and biocuration are at the forefront of the endeavor to make sense of this mounting deluge of data. Database: The Journal of Biological Databases and Curation provides an open access platform for the presentation of novel ideas in database research and biocuration, and aims to help strengthen the bridge between database developers, curators, and users.
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