{"title":"低温电子断层扫描的模板匹配与机器学习","authors":"Antonio Martinez-Sanchez","doi":"10.1016/j.sbi.2025.103058","DOIUrl":null,"url":null,"abstract":"<div><div>Cryo-electron tomography is the best-suited imaging technique for visual proteomics. Recent advances have increased the number, quality, and resolution of tomograms. However, object detection is the bottleneck task of the analysis workflow because, so far, only a few molecules can be detected by computer methods for pattern recognition. This article introduces the major challenges in detecting molecular complexes for cryo-electron tomography. This paper also identifies the limitations of the current methods. Finally, it describes the approaches proposed to overcome these limitations.</div></div>","PeriodicalId":10887,"journal":{"name":"Current opinion in structural biology","volume":"93 ","pages":"Article 103058"},"PeriodicalIF":6.1000,"publicationDate":"2025-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Template matching and machine learning for cryo-electron tomography\",\"authors\":\"Antonio Martinez-Sanchez\",\"doi\":\"10.1016/j.sbi.2025.103058\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Cryo-electron tomography is the best-suited imaging technique for visual proteomics. Recent advances have increased the number, quality, and resolution of tomograms. However, object detection is the bottleneck task of the analysis workflow because, so far, only a few molecules can be detected by computer methods for pattern recognition. This article introduces the major challenges in detecting molecular complexes for cryo-electron tomography. This paper also identifies the limitations of the current methods. Finally, it describes the approaches proposed to overcome these limitations.</div></div>\",\"PeriodicalId\":10887,\"journal\":{\"name\":\"Current opinion in structural biology\",\"volume\":\"93 \",\"pages\":\"Article 103058\"},\"PeriodicalIF\":6.1000,\"publicationDate\":\"2025-05-14\",\"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/S0959440X25000764\",\"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}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Current opinion in structural biology","FirstCategoryId":"99","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0959440X25000764","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}
Template matching and machine learning for cryo-electron tomography
Cryo-electron tomography is the best-suited imaging technique for visual proteomics. Recent advances have increased the number, quality, and resolution of tomograms. However, object detection is the bottleneck task of the analysis workflow because, so far, only a few molecules can be detected by computer methods for pattern recognition. This article introduces the major challenges in detecting molecular complexes for cryo-electron tomography. This paper also identifies the limitations of the current methods. Finally, it describes the approaches proposed to overcome these limitations.
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