Polyethylene Glycol Based Changes to β-Sheet Protein Conformational and Proteolytic Stability Depend on Conjugation Strategy and Location

作者
Steven R. E. Draper,Paul B. Lawrence,W.M. Billings,Qiang Xiao,Nathaniel P. Brown,Natalie A. Bécar,Derek J. Matheson,Andrew R. Stephens,Joshua L. Price
出处
期刊:Bioconjugate Chemistry [American Chemical Society]
卷期号:28 (10): 2507-2513 被引量:10
标识
DOI:10.1021/acs.bioconjchem.7b00281
摘要

The development of chemical strategies for site-specific protein modification now enables researchers to attach polyethylene glycol (PEG) to a protein drug at one or more specific locations (i.e., protein PEGylation). However, aside from avoiding enzyme active sites or protein-binding interfaces, distinguishing the optimal PEGylation site from the available alternatives has conventionally been a matter of trial and error. As part of a continuing effort to develop guidelines for identifying optimal PEGylation sites within proteins, we show here that the impact of PEGylation at various sites within the β-sheet model protein WW depends strongly on the identity of the PEG-protein linker. The PEGylation of Gln or of azidohomoalanine has a similar impact on WW conformational stability as does Asn-PEGylation, whereas the PEGylation of propargyloxyphenylalanine is substantially stabilizing at locations where Asn-PEGylation was destabilizing. Importantly, we find that at least one of these three site-specific PEGylation strategies leads to substantial PEG-based stabilization at each of the positions investigated, highlighting the importance of considering conjugation strategy as an important variable in selecting optimal PEGylation sites. We further demonstrate that using a branched PEG oligomer intensifies the impact of PEGylation on WW conformational stability and also show that PEG-based increases to conformational stability are strongly associated with corresponding increases in proteolytic stability.

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
ss258258发布了新的文献求助10
2秒前
YengFing应助常葶采纳,获得10
2秒前
大胆的碧菡完成签到,获得积分10
5秒前
科研通AI6.4应助NeilJW采纳,获得10
5秒前
陈龙发布了新的文献求助10
5秒前
6秒前
6秒前
6秒前
刘_1完成签到,获得积分10
7秒前
Jasper应助无心的成风采纳,获得10
8秒前
初景应助遗忘医生采纳,获得20
8秒前
9秒前
9秒前
zhaoyuan完成签到,获得积分10
9秒前
10秒前
10秒前
yyy发布了新的文献求助30
10秒前
筱筱发布了新的文献求助10
11秒前
syzotwo完成签到,获得积分10
12秒前
赘婿应助iknj采纳,获得10
12秒前
junmahmu完成签到,获得积分10
12秒前
小林完成签到,获得积分10
12秒前
13秒前
13秒前
科研通AI6.3应助NeilJW采纳,获得10
14秒前
淡淡的沛文完成签到 ,获得积分10
14秒前
15秒前
15秒前
16秒前
16秒前
16秒前
16秒前
17秒前
甘楽发布了新的文献求助10
18秒前
18秒前
19秒前
闫霄溯应助赫雪枫采纳,获得10
19秒前
闫霄溯应助zwc采纳,获得30
20秒前
Ruby完成签到,获得积分10
21秒前
望海皆星辰完成签到,获得积分10
21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
Römisch-Germanische Forschungen 1000
APA handbook of comparative psychology: Basic concepts, methods, neural substrate, and behavior 1000
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
The fast track to determining transfer functions of linear circuits: The student guide 500
Electric machines: theory, operating applications, and controls 500
The Analytical and Numerical Solution of Electric and Magnetic Fields 500
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 7603558
求助须知:如何正确求助?哪些是违规求助? 9179449
关于积分的说明 19658791
捐赠科研通 7178703
什么是DOI,文献DOI怎么找? 3269193
关于科研通互助平台的介绍 2433305
邀请新用户注册赠送积分活动 2263149