Synthetic Peptide Libraries: From Random Mixtures to In Vivo Testing

背景(考古学) 计算生物学 化学空间 可药性 计算机科学 药物发现 组合化学 三肽 生化工程 化学 纳米技术 生物 生物化学 材料科学 工程类 基因 古生物学
作者
Annamaria Sandomenico,Andrea Caporale,Nunzianna Doti,Simon Cross,Gabriele Cruciani,Angela Chambery,Sandro De Falco,Menotti Ruvo
出处
期刊:Current Medicinal Chemistry [Bentham Science]
卷期号:27 (6): 997-1016 被引量:9
标识
DOI:10.2174/0929867325666180716110833
摘要

Combinatorially generated molecular repertoires have been largely used to identify novel bioactive compounds. Ever more sophisticated technological solutions have been proposed to simplify and speed up such process, expanding the chemical diversity space and increasing the prospect to select new molecular entities with specific and potent activities against targets of therapeutic relevance. In this context, random mixtures of oligomeric peptides were originally used and since 25 years they represent a continuous source of bioactive molecules with potencies ranging from the sub-nM to microM concentration. Synthetic peptide libraries are still employed as starting “synthetic broths” of structurally and chemically diversified molecular fragments from which lead compounds can be extracted and further modified. Thousands of studies have been reported describing the application of combinatorial mixtures of synthetic peptides with different complexity and engrafted on diverse structural scaffolds for the identification of new compounds which have been further developed and also tested in in vivo models of relevant diseases. We briefly review some of the most used methodologies for library preparation and screening and the most recent case studies appeared in the literature where compounds have reached at least in vivo testing in animal or similar models. Recent technological advancements in biotechnology, engineering and computer science have suggested new options to facilitate the discovery of new bioactive peptides. In this instance, we anticipate here a new approach for the design of simple but focused tripeptide libraries against druggable cavities of therapeutic targets and its complementation with existing approaches.
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
rayjin发布了新的文献求助10
1秒前
1秒前
3秒前
Balloon完成签到,获得积分10
3秒前
3秒前
书书发布了新的文献求助10
3秒前
打打应助qq158014169采纳,获得10
3秒前
杨某某发布了新的文献求助10
4秒前
香蕉觅云应助朱莉采纳,获得10
4秒前
Duha完成签到,获得积分10
4秒前
科研小菜发布了新的文献求助10
4秒前
5秒前
5秒前
NJY发布了新的文献求助10
5秒前
5秒前
大个应助乐观的凌兰采纳,获得10
6秒前
丘比特应助禾伙人采纳,获得10
6秒前
7秒前
Frost完成签到,获得积分10
8秒前
lareina发布了新的文献求助10
8秒前
8秒前
9秒前
9秒前
9秒前
zy发布了新的文献求助20
9秒前
丘比特应助乐观蚂蚁采纳,获得10
9秒前
manman发布了新的文献求助10
10秒前
土豆条子完成签到,获得积分20
10秒前
tao_blue发布了新的文献求助10
10秒前
小用一阵发布了新的文献求助10
10秒前
英姑应助若朴祭司采纳,获得10
10秒前
blue完成签到,获得积分10
11秒前
12秒前
三土有兀完成签到 ,获得积分10
12秒前
帕芙芙完成签到,获得积分10
12秒前
自渡完成签到 ,获得积分10
12秒前
12秒前
asdgag完成签到,获得积分10
13秒前
Mike完成签到,获得积分10
13秒前
13秒前
高分求助中
Continuum Thermodynamics and Material Modelling 3000
Production Logging: Theoretical and Interpretive Elements 2700
Mechanistic Modeling of Gas-Liquid Two-Phase Flow in Pipes 2500
Structural Load Modelling and Combination for Performance and Safety Evaluation 800
Conference Record, IAS Annual Meeting 1977 610
On the identity and nomenclature of a climbing bamboo Melocalamus macclellandii 610
Virulence Mechanisms of Plant-Pathogenic Bacteria 500
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 基因 遗传学 物理化学 催化作用 量子力学 光电子学 冶金
热门帖子
关注 科研通微信公众号,转发送积分 3557057
求助须知:如何正确求助?哪些是违规求助? 3132400
关于积分的说明 9396994
捐赠科研通 2832554
什么是DOI,文献DOI怎么找? 1556834
邀请新用户注册赠送积分活动 726953
科研通“疑难数据库(出版商)”最低求助积分说明 716170