Systematic discovery and feature analysis of intertwined symmetric protein motifs for topology engineering

特征(语言学) 拓扑(电路) 拓扑数据分析 计算机科学 数学 组合数学 算法 哲学 语言学
作者
Lianjie Xu,Puqing Deng,Hanyu Gao,Wenbin Zhang
出处
期刊:Giant [Elsevier BV]
卷期号:17: 100226-100226 被引量:3
标识
DOI:10.1016/j.giant.2023.100226
摘要

Naturally occurring nontrivial protein topologies not only draw increasing attention on the relationships between topology and protein function, but also stimulate research endeavors in harnessing topology as a unique dimension for protein engineering. However, artificial design and synthesis of protein topologies is still in its infancy with successes only on a few simple topologies and its development is limited by the small number of intertwined protein motifs known to date. Herein, we report a systematic framework for the discovery of symmetric intertwined protein motifs from Protein Data Bank. The symmetric protein assemblies were screened based on their calculated Gauss linking number to assess their extent of chain intertwining. Then, the potential of such symmetric intertwined motifs in designing complex protein topologies is evaluated based on several parameters, including buried surface area, N-C terminal distances and so on, giving rise to a library of premium intertwined motifs useful for protein topology engineering. Taking C2 assemblies for example, the potential biological significances of chain intertwining in protein architectures are also discussed based on the analysis of their postulated biological functions. With an expanded toolbox of intertwined motifs, the design space of topological proteins would be greatly expanded to enable a broader scope for the application of protein topology engineering.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
XX应助tyy采纳,获得10
1秒前
zstyry9998完成签到,获得积分10
2秒前
执明发布了新的文献求助10
3秒前
董晏殊发布了新的文献求助10
4秒前
KerwinLLL发布了新的文献求助10
4秒前
Nole应助糟糕的思烟采纳,获得30
5秒前
科研通AI6.4应助Yy采纳,获得10
5秒前
6秒前
丰富的谷菱完成签到,获得积分10
6秒前
落尘府完成签到,获得积分10
7秒前
渴望者发布了新的文献求助10
10秒前
火星上友易完成签到,获得积分10
11秒前
犹豫的若完成签到,获得积分10
11秒前
汉堡包应助执明采纳,获得10
11秒前
你盐今虾吗完成签到 ,获得积分10
11秒前
我是老大应助田浅采纳,获得10
12秒前
12秒前
三七完成签到 ,获得积分10
12秒前
时尚的虔发布了新的文献求助10
13秒前
13秒前
坚定英姑发布了新的文献求助10
14秒前
奕苼完成签到 ,获得积分10
15秒前
王淳完成签到 ,获得积分10
16秒前
隐形曼青应助kingyuan采纳,获得10
17秒前
王子发布了新的文献求助10
17秒前
调皮小兔子完成签到 ,获得积分10
18秒前
19秒前
19秒前
科研通AI6.2应助Yy采纳,获得10
19秒前
小翟同学发布了新的文献求助30
20秒前
嗨害害发布了新的文献求助10
20秒前
21秒前
清茶颂歌完成签到,获得积分10
23秒前
23秒前
24秒前
易怀亮完成签到,获得积分10
24秒前
cdercder应助tyy采纳,获得10
24秒前
24秒前
李爱国应助无心的可仁采纳,获得10
25秒前
Lucas应助坚定英姑采纳,获得10
25秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
The anomeric effect 1314
Principles of town planning: translating concepts to applications 1000
1 Peter and Christ's Descent to the Dead in Its Early Christian Reception 700
Organizational Behavior 510
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7734324
求助须知:如何正确求助?哪些是违规求助? 9284698
关于积分的说明 20166402
捐赠科研通 7312141
什么是DOI,文献DOI怎么找? 3304642
关于科研通互助平台的介绍 2457279
邀请新用户注册赠送积分活动 2313831