Expanding insights from in situ cryo-EM

IF 6.1 2区 生物学 Q1 BIOCHEMISTRY & MOLECULAR BIOLOGY Current opinion in structural biology Pub Date : 2024-07-11 DOI:10.1016/j.sbi.2024.102885
Joshua Hutchings , Elizabeth Villa
{"title":"Expanding insights from in situ cryo-EM","authors":"Joshua Hutchings ,&nbsp;Elizabeth Villa","doi":"10.1016/j.sbi.2024.102885","DOIUrl":null,"url":null,"abstract":"<div><p>The combination of cryo-electron tomography and subtomogram analysis affords 3D high-resolution views of biological macromolecules in their native cellular environment, or <em>in situ</em>. Streamlined methods for acquiring and processing these data are advancing attainable resolutions into the realm of drug discovery. Yet regardless of resolution, structure prediction driven by artificial intelligence (AI) combined with subtomogram analysis is becoming powerful in understanding macromolecular assemblies. Automated and AI-assisted data mining is increasingly necessary to cope with the growing wealth of tomography data and to maximize the information obtained from them. Leveraging developments from AI and single-particle analysis could be essential in fulfilling the potential of <em>in situ</em> cryo-EM. Here, we highlight new developments for <em>in situ</em> cryo-EM and the emerging potential for AI in this process.</p></div>","PeriodicalId":10887,"journal":{"name":"Current opinion in structural biology","volume":null,"pages":null},"PeriodicalIF":6.1000,"publicationDate":"2024-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Current opinion in structural biology","FirstCategoryId":"99","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0959440X2400112X","RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BIOCHEMISTRY & MOLECULAR BIOLOGY","Score":null,"Total":0}
引用次数: 0

Abstract

The combination of cryo-electron tomography and subtomogram analysis affords 3D high-resolution views of biological macromolecules in their native cellular environment, or in situ. Streamlined methods for acquiring and processing these data are advancing attainable resolutions into the realm of drug discovery. Yet regardless of resolution, structure prediction driven by artificial intelligence (AI) combined with subtomogram analysis is becoming powerful in understanding macromolecular assemblies. Automated and AI-assisted data mining is increasingly necessary to cope with the growing wealth of tomography data and to maximize the information obtained from them. Leveraging developments from AI and single-particle analysis could be essential in fulfilling the potential of in situ cryo-EM. Here, we highlight new developments for in situ cryo-EM and the emerging potential for AI in this process.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
扩展原位低温电子显微镜的洞察力
低温电子断层扫描与子图分析相结合,可提供生物大分子在原生细胞环境或原位的三维高分辨率视图。获取和处理这些数据的简化方法正在将可实现的分辨率推进到药物发现领域。然而,无论分辨率如何,由人工智能(AI)驱动的结构预测与子图分析相结合,在理解大分子组装方面正变得越来越强大。为了应对日益丰富的断层成像数据并最大限度地从中获取信息,自动和人工智能辅助数据挖掘变得越来越必要。利用人工智能和单粒子分析的发展,对于发挥原位冷冻电镜的潜力至关重要。在此,我们将重点介绍原位冷冻电镜的新发展以及人工智能在这一过程中的新兴潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Current opinion in structural biology
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
期刊最新文献
The mechano-chemistry of a viral genome packaging motor Characterizing protein-protein interactions with thermal proteome profiling Retraction notice to “Liquid-EM goes viral – visualizing structure and dynamics” [Curr Opin Struct Biol 75 (August 2022) 102426] Non-canonical amino acids for site-directed spin labeling of membrane proteins Empowering the molecular ruler techniques with unnatural base pair system to explore conformational dynamics of flaviviral RNAs
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1