Combination of deep XLMS with deep learning reveals an ordered rearrangement and assembly of a major protein component of the vaccinia virion

Author:

Mirzakhanyan Yeva1ORCID,Jankevics Andris2,Scheltema Richard A.2,Gershon Paul David1ORCID

Affiliation:

1. Department of Molecular Biology and Biochemistry, University of California Irvine , Irvine, California, USA

2. Biomolecular Mass Spectrometry and Proteomics, Bijvoet Center for Biomolecular Research and Utrecht Institute for Pharmaceutical Sciences, University of Utrecht , Utrecht, the Netherlands

Abstract

ABSTRACT Vaccinia virus, the prototypical poxvirus and smallpox/monkeypox vaccine, has proven a challenging entity for structural biology, defying many of the approaches leading to molecular and atomic models for other viruses. Via a combination of deep learning and cross-linking mass spectrometry, we have developed an atomic-level model and an integrated processing/assembly pathway for a structural component of the vaccinia virion, protein P4a. Within the pathway, proteolytic separation of the C-terminal P4a-3 segment of P4a triggers a massive conformational rotation within the N-terminal P4a-1 segment that becomes fixed by disulfide-locking while removing a steric block to trimerization of the processing intermediate P4a-1+2. These events trigger the proteolytic separation of P4a-2, allowing the assembly of P4a-1 into a hexagonal lattice that encloses the nascent virion core. IMPORTANCE An outstanding problem in the understanding of poxvirus biology is the molecular structure of the mature virion. Via deep learning methods combined with chemical cross-linking mass spectrometry, we have addressed the structure and assembly pathway of P4a, a key poxvirus virion core component.

Funder

HHS | National Institutes of Health

Publisher

American Society for Microbiology

Subject

Virology,Microbiology

Cited by 2 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

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