Phage Selection of Cyclic Peptides for Application in Research and Drug Development

环肽 噬菌体展示 组合化学 平移(音频) 连接器 计算生物学 化学 化学空间 肽库 抗菌肽 化学生物学 生物化学 生物 药物发现 肽序列 计算机科学 基因 操作系统 缩放 古生物学 镜头(地质)
作者
Kaycie M. Deyle,Xu‐Dong Kong,Christian Heinis
出处
期刊:Accounts of Chemical Research [American Chemical Society]
卷期号:50 (8): 1866-1874 被引量:174
标识
DOI:10.1021/acs.accounts.7b00184
摘要

ConspectusCyclic peptides can bind to protein targets with high affinities and selectivities, which makes them an attractive modality for the development of research reagents and therapeutics. Additional properties, including low inherent toxicity, efficient chemical synthesis, and facile modification with labels or immobilization reagents, increase their attractiveness. Cyclic peptide ligands against a wide range of protein targets have been isolated from natural sources such as bacteria, fungi, plants, and animals. Many of them are currently used as research tools, and several have found application as therapeutics, such as the peptide hormones oxytocin and vasopressin and the antibiotics vancomycin and daptomycin, proving the utility of cyclic peptides in research and medicine.With the advent of phage display and other in vitro evolution techniques, it has become possible to generate cyclic peptide binders to diverse protein targets for which no natural peptides have been discovered. A highly robust and widely applied approach is based on the cyclization of peptides displayed on phage via a disulfide bridge. Disulfide-cyclized peptide ligands to more than a hundred different proteins have been reported in the literature. Technology advances achieved over the last three decades, including methods for generating larger phage display libraries, improved phage panning protocols, new cyclic peptide formats, and high-throughput sequencing, have enabled the generation of cyclic peptides with ever better binding affinities to more challenging targets.A relatively new cyclic peptide format developed using phage display involves bicyclic peptides. These molecules consist of two macrocyclic peptide rings cyclized through a chemical linker. Compared to monocyclic peptides of comparable molecular mass, bicyclic peptides are more constrained in their conformation. As a result, they can bind to their targets with a higher affinity and are more resistant to proteolytic degradation. Phage-encoded bicyclic peptides are generated by chemically cyclizing random peptide libraries on phage. Binders are identified by conventional phage panning and DNA sequencing. Next-generation sequencing and new sequence alignment tools have enabled the rapid identification of bicyclic peptides.Bicyclic peptide ligands were developed against a range of diverse target classes including enzymes, receptors, and cytokines. Most ligands bind with nanomolar affinities, with some reaching the picomolar range. To date, several bicyclic peptides have been positively evaluated in preclinical studies, and the first clinical tests are in sight. While bicyclic peptide phage display was developed with therapeutic applications in mind, these peptides are increasingly used as research tools for target evaluation or as basic research probes as well. Given the efficient development method, the ease of synthesis and handling, and the favorable binding and biophysical properties, bicyclic peptides are being developed against more and more targets, ever increasing their potential applications in research and medicine.
最长约 10秒,即可获得该文献文件

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
邹邹发布了新的文献求助10
刚刚
1秒前
lnb666777888完成签到 ,获得积分10
2秒前
peak79发布了新的文献求助10
2秒前
3秒前
3秒前
3秒前
3秒前
晴天发布了新的文献求助10
4秒前
jack发布了新的文献求助10
4秒前
昏睡的柜子完成签到,获得积分10
4秒前
666发布了新的文献求助10
4秒前
万能图书馆应助WYN采纳,获得10
5秒前
脑洞疼应助amengptsd采纳,获得10
5秒前
AllRightReserved应助zhangHR采纳,获得10
6秒前
AllRightReserved应助zhangHR采纳,获得10
6秒前
AllRightReserved应助zhangHR采纳,获得10
6秒前
l_v关闭了l_v文献求助
6秒前
xiaofei应助zhangHR采纳,获得10
6秒前
科研通AI6.1应助xiaohe采纳,获得10
6秒前
wubobo发布了新的文献求助10
6秒前
caochuang发布了新的文献求助10
7秒前
7秒前
10秒前
瑞0920发布了新的文献求助10
10秒前
11秒前
12秒前
wubobo完成签到,获得积分10
12秒前
12秒前
慕青应助芬芬采纳,获得10
14秒前
sining发布了新的文献求助10
14秒前
李会计和完成签到,获得积分10
14秒前
14秒前
666完成签到,获得积分10
14秒前
15秒前
蒋宇骁完成签到,获得积分10
15秒前
16秒前
ranj发布了新的文献求助10
16秒前
霜月发布了新的文献求助10
16秒前
17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
Chemistry and Physics of Carbon Volume 18 800
The Organometallic Chemistry of the Transition Metals 800
The formation of Australian attitudes towards China, 1918-1941 640
Signals, Systems, and Signal Processing 610
全相对论原子结构与含时波包动力学的理论研究--清华大学 500
Elevating Next Generation Genomic Science and Technology using Machine Learning in the Healthcare Industry Applied Machine Learning for IoT and Data Analytics 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 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6443711
求助须知:如何正确求助?哪些是违规求助? 8257506
关于积分的说明 17587476
捐赠科研通 5502428
什么是DOI,文献DOI怎么找? 2900975
邀请新用户注册赠送积分活动 1878057
关于科研通互助平台的介绍 1717534