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AlphaFind:在 AlphaFold DB 中发现蛋白质组中的结构相似性。

AlphaFind: discover structure similarity across the proteome in AlphaFold DB.

机构信息

Faculty of Informatics, Masaryk University, Botanická 68A, Brno 60200, Czech Republic.

Institute of Computer Science, Masaryk University, Šumavská 416/15, Brno 60200, Czech Republic.

出版信息

Nucleic Acids Res. 2024 Jul 5;52(W1):W182-W186. doi: 10.1093/nar/gkae397.

Abstract

AlphaFind is a web-based search engine that provides fast structure-based retrieval in the entire set of AlphaFold DB structures. Unlike other protein processing tools, AlphaFind is focused entirely on tertiary structure, automatically extracting the main 3D features of each protein chain and using a machine learning model to find the most similar structures. This indexing approach and the 3D feature extraction method used by AlphaFind have both demonstrated remarkable scalability to large datasets as well as to large protein structures. The web application itself has been designed with a focus on clarity and ease of use. The searcher accepts any valid UniProt ID, Protein Data Bank ID or gene symbol as input, and returns a set of similar protein chains from AlphaFold DB, including various similarity metrics between the query and each of the retrieved results. In addition to the main search functionality, the application provides 3D visualizations of protein structure superpositions in order to allow researchers to instantly analyze the structural similarity of the retrieved results. The AlphaFind web application is available online for free and without any registration at https://alphafind.fi.muni.cz.

摘要

AlphaFind 是一个基于网络的搜索引擎,可在整个 AlphaFold DB 结构集中提供快速基于结构的检索。与其他蛋白质处理工具不同,AlphaFind 完全专注于三级结构,自动提取每条蛋白质链的主要 3D 特征,并使用机器学习模型来寻找最相似的结构。这种索引方法和 AlphaFind 使用的 3D 特征提取方法都证明了它们对大型数据集和大型蛋白质结构具有出色的可扩展性。该网络应用程序本身的设计重点是清晰和易于使用。搜索器接受任何有效的 UniProt ID、蛋白质数据库 ID 或基因符号作为输入,并从 AlphaFold DB 返回一组相似的蛋白质链,包括查询和每个检索结果之间的各种相似性度量。除了主要的搜索功能外,该应用程序还提供蛋白质结构叠加的 3D 可视化,以便研究人员能够即时分析检索结果的结构相似性。AlphaFind 网络应用程序可在 https://alphafind.fi.muni.cz 上免费且无需注册使用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/70e2/11223785/6edfb1dcbd16/gkae397figgra1.jpg

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