已入深夜,您辛苦了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!祝你早点完成任务,早点休息,好梦!

Fragment-based drug design facilitates selective kinase inhibitor discovery

药物发现 激酶 片段(逻辑) 药品 药理学 化学 计算生物学 医学 生物化学 计算机科学 生物 算法
作者
Zhi-Zheng Wang,Xing-Xing Shi,Guang-Yi Huang,Ge‐Fei Hao,Guang‐Fu Yang
出处
期刊:Trends in Pharmacological Sciences [Elsevier BV]
卷期号:42 (7): 551-565 被引量:38
标识
DOI:10.1016/j.tips.2021.04.001
摘要

Protein kinases inhibitors play vital roles in the treatment of multiple diseases. The problem of selectivity poses a challenge to the development of kinase inhibitors. Fragment-based drug discovery (FBDD) could maximize the kinase–fragment interaction in target kinase subpockets. And the abundant kinase–inhibitor complexes could provide necessary structural information for FBDD to obtain promising selectivity. Understanding kinase–fragment interactions in each kinase subpocket is significant for FBDD. Special interactions targeting subpockets in the back cleft or FP-I/FP-II subpockets of the front cleft are important for selectivity. Development of kinase inhibitors with novel mode of action like allosteric inhibitors via FBDD method is an efficient and potent way to achieve good selectivity. Protein kinases (PKs) are important drug targets, but kinases selectivity poses a challenge to protein kinase inhibitors (PKIs) design. Fragment-based drug discovery (FBDD) has achieved great success in the discovery of highly specific PKIs. It makes full use of kinase–fragment interaction in target kinase subpockets to obtain promising selectivity. However, it’s difficult to understand the complicated kinase–fragment interaction space, and systemic discussion of these interactions is still lacking. Herein, we introduce the advantages of the FBDD strategy in PKIs design. Key features of the selectivity of kinase–fragment interactions are summarized and analyzed. Some promising PKIs are introduced as case studies to help understand the fragment-to-lead (F2L) optimization process. Novel strategies and technologies for FBDD in PKIs discovery are also outlooked. Protein kinases (PKs) are important drug targets, but kinases selectivity poses a challenge to protein kinase inhibitors (PKIs) design. Fragment-based drug discovery (FBDD) has achieved great success in the discovery of highly specific PKIs. It makes full use of kinase–fragment interaction in target kinase subpockets to obtain promising selectivity. However, it’s difficult to understand the complicated kinase–fragment interaction space, and systemic discussion of these interactions is still lacking. Herein, we introduce the advantages of the FBDD strategy in PKIs design. Key features of the selectivity of kinase–fragment interactions are summarized and analyzed. Some promising PKIs are introduced as case studies to help understand the fragment-to-lead (F2L) optimization process. Novel strategies and technologies for FBDD in PKIs discovery are also outlooked. a part of kinase catalytic domain where the adenine group of ATP binds. a type of pocket distinct from orthosteric sites in space and topology. Some perturbations at allosteric sites, such as protein mutations or ligand-binding, can modulate the activity of orthosteric sites. a helix in the N-terminal lobe of the kinase. When it forms a salt bridge with a conserved lysine residue, it is defined as αC-in conformation. Conversely, it is defined as αC-out conformation. a highly conserved motif consisting of three amino acids (Asp-Phe-Gly) at ATP binding site. This motif is involved in the regulation of activation state of protein kinase. a segment consisting of three amino acids. This region is used as an anchor point by ATP and most protein kinase inhibitors. smaller regions of binding sites of proteins that make a great contribution to the binding free energy with ligands. a measurement to characterize the average contribution of each heavy atom to activity. The value of LE is defined by the binding energy of a ligand to its binding partner divided by the number of heavy atoms in this ligand. the logP of a compound, where P is the partition coefficient between n-octanol and water log (Coctanol/Cwater). It is a measure of compound hydrophilicity. a pocket where endogenous ligands and substrates bind. For kinase, it refers to the ATP binding site. a type of heterobifunctional small molecule capable of removing specific unwanted proteins. These molecules are composed of two active domains and a linker structure. Rather than acting as a conventional enzyme inhibitor, a PROTAC works by inducing intracellular proteolysis. a chemical structure that could form covalent bond with protein.
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
ttttttttttt完成签到,获得积分10
刚刚
Njzs完成签到 ,获得积分10
刚刚
3秒前
XC完成签到 ,获得积分10
3秒前
5秒前
5秒前
dove发布了新的文献求助10
8秒前
科研通AI6.2应助Shang采纳,获得10
8秒前
Doraemon完成签到 ,获得积分10
9秒前
shjyang完成签到,获得积分0
9秒前
General发布了新的文献求助10
10秒前
Orange应助害羞香菇采纳,获得10
11秒前
立菠萝完成签到 ,获得积分10
11秒前
13秒前
14秒前
星尘完成签到 ,获得积分10
15秒前
啊哈发布了新的文献求助10
15秒前
yanweifu发布了新的文献求助10
17秒前
18秒前
18秒前
BigTong发布了新的文献求助10
19秒前
bkagyin应助Michelle采纳,获得10
22秒前
gstaihn完成签到,获得积分10
23秒前
Guo1020181发布了新的文献求助10
23秒前
星河完成签到 ,获得积分10
25秒前
dove完成签到,获得积分10
28秒前
展会恩完成签到,获得积分10
28秒前
29秒前
syjc发布了新的文献求助10
29秒前
奋斗奇迹完成签到,获得积分10
34秒前
Aspirin发布了新的文献求助10
34秒前
36秒前
41秒前
yiyao完成签到 ,获得积分10
42秒前
ccccc77777发布了新的文献求助10
42秒前
斯莱特林的床板完成签到,获得积分10
45秒前
丰富的澜完成签到 ,获得积分10
45秒前
Aspirin完成签到,获得积分20
45秒前
aabbcc发布了新的文献求助10
46秒前
少川完成签到 ,获得积分10
47秒前
高分求助中
Principles of Economics, 11th Edition 10000
University Physics with Modern Physics, 16th edition 10000
(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
Development of a Bridge Weigh-In-Motion System: A technology to convert the bridge response to the passage of traffic into data on vehicle configurations, speeds, times of travel and weights 1000
Molecular Mechanisms of Photosynthesis, 4th Edition 1000
Organic Reactions, Volume 116 1000
Current concepts in cutaneous toxicity : proceedings of the Fourth Conference on Cutaneous Toxicity, Washington, D.C., May 9-11, 1979 1000
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 7263104
求助须知:如何正确求助?哪些是违规求助? 8884234
关于积分的说明 18776315
捐赠科研通 6941890
什么是DOI,文献DOI怎么找? 3202575
关于科研通互助平台的介绍 2375682
邀请新用户注册赠送积分活动 2178423