Screening of cyclic peptide phage libraries identifies ligands that bind streptavidin with high affinities

链霉亲和素 环肽 噬菌体展示 肽库 化学 亲缘关系 生物素化 半胱氨酸 组合化学 蛋白质标签 生物化学 立体化学 肽序列 生物素 融合蛋白 重组DNA 基因
作者
Lutz B. Giebel,Robert Cass,Daniel L. Milligan,Dennis C. Young,Rafael Arze,Charles Johnson
出处
期刊:Biochemistry [American Chemical Society]
卷期号:34 (47): 15430-15435 被引量:208
标识
DOI:10.1021/bi00047a006
摘要

The screening of combinatorial peptide libraries has emerged as an important tool in the discovery of novel substrates or ligands for enzyme and receptor targets. For example, screening linear peptide libraries using streptavidin as a model receptor system has previously identified many low-affinity peptide ligands, all of which contain the common motif His-Pro-Gln (HPQ). We reasoned that constraining the conformational freedom of linear peptides by cyclization in a library would yield peptide ligands of increased affinity. Three different cyclic peptide libraries were constructed in an M13 phage display system as N-terminal pIII protein fusions. The random peptide sequences were flanked by two cysteine residues, which allows efficient disulfide bond formation and cyclization during phage assembly. These cyclic peptide libraries were screened with streptavidin as the model receptor system. Many sequences, all of which contained the motif His-Pro-Gln (HPQ), were discovered, and in the preceding paper, the structures of complexes of streptavidin-bound cyclic and linear peptides are described (Katz, 1995). Analysis of binding kinetics and affinities demonstrated that the conformationally constrained cyclic peptides bound streptavidin with affinities up to 3 orders of magnitude higher than linear peptides identified in previous library screens. These results demonstrate the potential of screening conformationally constrained peptide libraries for high-affinity novel receptor ligands or enzyme substrates.

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
科研宇完成签到,获得积分10
刚刚
孤星泪完成签到,获得积分10
刚刚
aajhajkahna应助obaica采纳,获得10
刚刚
活泼的小霸王完成签到,获得积分10
1秒前
领导范儿应助Dylan采纳,获得10
4秒前
5秒前
乖小俏完成签到,获得积分10
5秒前
努力哥完成签到,获得积分10
6秒前
上官若男应助神勇妙旋采纳,获得10
7秒前
8秒前
9秒前
hnlgdx完成签到,获得积分20
9秒前
Orange应助创不可贴采纳,获得10
9秒前
9秒前
9秒前
9秒前
卫三发布了新的文献求助10
10秒前
打打应助Qiao采纳,获得10
10秒前
10秒前
不仅要发文章还有发财完成签到,获得积分10
10秒前
LYJ完成签到,获得积分10
11秒前
nhnx完成签到,获得积分10
12秒前
RJC发布了新的文献求助10
13秒前
daydayup发布了新的文献求助10
14秒前
小柏学长完成签到,获得积分10
15秒前
Miraitowa完成签到 ,获得积分20
16秒前
夏Eason发布了新的文献求助10
16秒前
weiweiwei完成签到 ,获得积分10
16秒前
倾夏唯音发布了新的文献求助10
16秒前
shuaideyapi完成签到,获得积分10
17秒前
19秒前
sikaixue发布了新的文献求助10
20秒前
22秒前
hyman1218完成签到 ,获得积分10
23秒前
超A猩发布了新的文献求助10
24秒前
丢硬币的小孩完成签到,获得积分10
25秒前
小荣同学发布了新的文献求助20
27秒前
飞快的慕山应助hgrhgr采纳,获得10
30秒前
benmao_mogu完成签到,获得积分10
30秒前
wcuzhl完成签到,获得积分10
30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
China Pluperfect I: Epistemology of Past and Outside in Chinese Art 520
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
The Analytical and Numerical Solution of Electric and Magnetic Fields 500
Green Fire Retardants for Polymeric Materials 400
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 7614722
求助须知:如何正确求助?哪些是违规求助? 9190032
关于积分的说明 19690908
捐赠科研通 7187459
什么是DOI,文献DOI怎么找? 3271178
关于科研通互助平台的介绍 2434525
邀请新用户注册赠送积分活动 2266167