基于人工智能的低温电镜生物分子结构建模方法。

IF 6.1 2区生物学 Q1 BIOCHEMISTRY & MOLECULAR BIOLOGY

Current opinion in structural biology Pub Date : 2025-02-01 DOI:10.1016/j.sbi.2025.102989

Farhanaz Farheen , Genki Terashi , Han Zhu , Daisuke Kihara

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引用次数: 0

摘要

低温电子显微镜（Cryo-EM）通过确定传统方法难以研究的大分子结构，彻底改变了结构生物学。处理低温电镜数据涉及几个计算步骤，以从原始投影中导出三维结构。包括深度学习在内的人工智能（AI）的最新进展显著提高了这些过程的性能。在这篇综述中，我们讨论了在低温电镜数据处理的关键步骤中使用的最先进的人工智能技术，包括大分子结构建模和异质性分析。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

AI-based methods for biomolecular structure modeling for Cryo-EM

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AI-based methods for biomolecular structure modeling for Cryo-EM

Cryo-electron microscopy (Cryo-EM) has revolutionized structural biology by enabling the determination of macromolecular structures that were challenging to study with conventional methods. Processing cryo-EM data involves several computational steps to derive three-dimensional structures from raw projections. Recent advancements in artificial intelligence (AI) including deep learning have significantly improved the performance of these processes. In this review, we discuss state-of-the-art AI-based techniques used in key steps of cryo-EM data processing, including macromolecular structure modeling and heterogeneity analysis.

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来源期刊

Current opinion in structural biology 生物-生化与分子生物学

CiteScore

12.20

自引率

2.90%

发文量

179

审稿时长

6-12 weeks

期刊介绍： Current Opinion in Structural Biology (COSB) aims to stimulate scientifically grounded, interdisciplinary, multi-scale debate and exchange of ideas. It contains polished, concise and timely reviews and opinions, with particular emphasis on those articles published in the past two years. In addition to describing recent trends, the authors are encouraged to give their subjective opinion of the topics discussed. In COSB, we help the reader by providing in a systematic manner: 1. The views of experts on current advances in their field in a clear and readable form. 2. Evaluations of the most interesting papers, annotated by experts, from the great wealth of original publications. [...] The subject of Structural Biology is divided into twelve themed sections, each of which is reviewed once a year. Each issue contains two sections, and the amount of space devoted to each section is related to its importance. -Folding and Binding- Nucleic acids and their protein complexes- Macromolecular Machines- Theory and Simulation- Sequences and Topology- New constructs and expression of proteins- Membranes- Engineering and Design- Carbohydrate-protein interactions and glycosylation- Biophysical and molecular biological methods- Multi-protein assemblies in signalling- Catalysis and Regulation