Insight into the mechanism of protein thermostability based on the residue interaction degrees

作者
Huihua Ge,Yunmeng Chu,Guangya Zhang
出处
期刊: [Cold Spring Harbor Laboratory]
标识
DOI:10.1101/135319
摘要

ABSTRACT Understanding the basis of protein thermostability raises a general question: which residue with specific interaction degrees is more important to the protein thermostability? A strictly selected dataset of 131 pairs of thermophilic (TPs) and mesophilic proteins (MPs) was constructed. There were 6.4% and 8.4% of the total residues in sequences did not interact with others in TPs and MPs. The amino acid contents in sequences are closest to those with the interaction degrees of 3 according to the Chi-squared distances. Only Glu, Gln and the amide residues showed significant differences in sequences, which was the same as identified at low residue interaction degrees. However, we observed significant Phe, Lys, Leu, Gln and the charged, aliphatic, aromatic, positive charged and small residues at high interaction degree. Among them, Phe was rarely reported previously although aromatic residues were well-known contributor to protein thermostability. Finally, we took aspartate transcarbamylases as an example to explain how a residue with various interaction degrees contributed differently to their thermostability. Our results clearly demonstrated the differences of amino acids in sequence between TPs and MPs could only represent those involved in low interaction degrees. Much more residues with significant differences existed at high interaction degrees even if they had few significant amino acids in sequences. The interaction degree-based method should be an alternative tool in extracting valuable eigenvalues for predicting proteins attributes in bioinformatics. It could also provide a new perspective for studying the thermostability of proteins and engineering novel thermostable proteins. List of abbreviations TPs thermophilic proteins MPs mesophilic proteins OGT optimal growth temperature ASA absolute surface areas

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
852应助西余采纳,获得10
刚刚
1秒前
1秒前
懵懂的弱完成签到,获得积分10
1秒前
1秒前
tiffany发布了新的文献求助10
1秒前
子非鱼发布了新的文献求助10
1秒前
2秒前
晨曦完成签到,获得积分10
2秒前
2秒前
czhyxisbus发布了新的文献求助10
2秒前
2秒前
3秒前
jiaying完成签到 ,获得积分10
3秒前
王卓远完成签到 ,获得积分10
3秒前
科研通AI6.2应助00000采纳,获得10
4秒前
4秒前
段李莲发布了新的文献求助10
4秒前
5秒前
王佳慧发布了新的文献求助10
5秒前
fengy104发布了新的文献求助10
6秒前
末末完成签到,获得积分10
6秒前
八笔完成签到,获得积分10
6秒前
7秒前
乐乐应助江河采纳,获得10
7秒前
赘婿应助liquidwy采纳,获得10
7秒前
宋宋完成签到,获得积分10
8秒前
在水一方应助沸羊羊采纳,获得10
8秒前
小萌新发布了新的文献求助10
9秒前
任性海豚完成签到,获得积分20
9秒前
赘婿应助sdl采纳,获得10
9秒前
江上阳光发布了新的文献求助10
10秒前
hsy完成签到,获得积分20
10秒前
ZL完成签到,获得积分10
10秒前
论文真难写完成签到,获得积分10
10秒前
自然雁风完成签到,获得积分10
10秒前
10秒前
10秒前
10秒前
11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
Organizational Behavior 510
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Rosenblum, Global Change Biology 500
CLSI VET01S-2024 Performance Standards for Antimicrobial Disk and Dilution Susceptibility Tests for Bacteria Isolated From Animals (7th Ed) 500
DIPPR Project 801 - Full Version 380
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 计算机科学 化学工程 工程类 有机化学 物理 复合材料 生物化学 内科学 细胞生物学 基因 遗传学 免疫学 冶金 光电子学 癌症研究
热门帖子
关注 科研通微信公众号,转发送积分 7768358
求助须知:如何正确求助?哪些是违规求助? 9311607
关于积分的说明 20324623
捐赠科研通 7353348
什么是DOI,文献DOI怎么找? 3315682
关于科研通互助平台的介绍 2464810
邀请新用户注册赠送积分活动 2330312