Modeling Beta-Traces for Beta-Barrels from Cryo-EM Density Maps

Author:

Si Dong1,He Jing2ORCID

Affiliation:

1. Division of Computing and Software Systems, University of Washington Bothell, Bothell, WA 98011, USA

2. Department of Computer Science, Old Dominion University, Norfolk, VA 23529, USA

Abstract

Cryo-electron microscopy (cryo-EM) has produced density maps of various resolutions. Althoughα-helices can be detected from density maps at 5–8 Å resolutions,β-strands are challenging to detect at such density maps due to close-spacing ofβ-strands. The variety of shapes ofβ-sheets adds the complexity ofβ-strands detection from density maps. We propose a new approach to model traces ofβ-strands forβ-barrel density regions that are extracted from cryo-EM density maps. In the test containing eightβ-barrels extracted from experimental cryo-EM density maps at 5.5 Å–8.25 Å resolution,StrandRollerdetected about 74.26% of the amino acids in theβ-strands with an overall 2.05 Å 2-way distance between the detectedβ-traces and the observed ones, if the best of the fifteen detection cases is considered.

Funder

National Science Foundation

Publisher

Hindawi Limited

Subject

General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,General Medicine

Cited by 12 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Smart de novo Macromolecular Structure Modeling from Cryo-EM Maps;Journal of Molecular Biology;2023-05

2. Segmentation-based Feature Extraction for Cryo-Electron Microscopy at Medium Resolution;Proceedings of the 11th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics;2020-09-21

3. Protein secondary structure detection in intermediate-resolution cryo-EM maps using deep learning;Nature Methods;2019-07-29

4. EMNets;Proceedings of the 2018 ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics;2018-08-15

5. Using Combined Features to Analyze Atomic Structures derived from Cryo-EM Density Maps;Proceedings of the 2018 ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics;2018-08-15

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3