N-glycosylation reinforces interaction of immune checkpoint TIM-3 with a small molecule ligand

聚糖 化学 糖基化 N-连接糖基化 小分子 立体化学 残留物(化学) 生物化学 糖蛋白
作者
Gérard Vergoten,Christian Bailly
出处
期刊:Computational Biology and Chemistry [Elsevier BV]
卷期号:104: 107852-107852 被引量:1
标识
DOI:10.1016/j.compbiolchem.2023.107852
摘要

N-glycosylation of eukaryotic proteins plays roles in protein folding, trafficking, and signal transduction. The biological influence of the process is well understood, whereas the pharmacological impact of protein N-glycosylation is not well under discerned. The role of N-glycosylation on drug binding to protein has been rarely studied. We have modeled the influence of a bi-antennary N-glycan introduced at position N78 on the immune checkpoint TIM-3 (T cell immunoglobulin domain and mucin domain-containing molecule 3) on the interaction with a selective drug antagonist. The bulky N-glycan introduced at the consensus sequence Asn-Val-Thr has no influence on drug binding when the glycan adopts an extended conformation. But in a folded conformation, the glycan can interact directly with the triazoloquinazolinone derivative so as to further stabilize the drug-TIM-3 complex. The non-fucosylated glycan at position N78 markedly consolidates the drug interaction, via an additional H-bond interaction with the α3-mannose residue. It provides a gain of empirical potential energy of interaction (ΔE) of about 30 %. The presence of a more rigid fucosylated N-glycan is a little less favorable, with a gain of ΔE of about 20 %. The folded N-glycan appears to protect the ligand bound to the protein cavity, with the tricyclic core of the heterocyclic molecule sandwiched between two indole rings of tryptophan residues. Similar results were obtained when using a biantennary disialyl N-glycan with a bisecting GlcNAc residue and a tetra-antennary N-glycan. The molecular models illustrate the drug-stabilizing capacity of a bulky N-glycan positioned at a validated glycosylation site (N78 corresponding to N100 for the full-length protein). The modeling approach is useful to delineate further the role of the N-glycan of the immune checkpoint TIM-3 in interaction with small molecule ligands, and to guide the design of more potent compounds. The approach is transposable to other proteins to better comprehend the influence of N-glycans on drug-receptor interactions.

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
刚刚
热爱科研的小海豹完成签到 ,获得积分10
1秒前
molihuakai的应助被11231采纳,获得10
3秒前
可靠连虎完成签到 ,获得积分10
3秒前
4秒前
军军问问张完成签到,获得积分10
4秒前
6秒前
地雷完成签到 ,获得积分10
8秒前
9秒前
哈哈哈发布了新的文献求助10
10秒前
10秒前
阿李完成签到 ,获得积分10
11秒前
LR完成签到,获得积分10
11秒前
凌云完成签到,获得积分10
11秒前
打打的应助被千十一采纳,获得10
12秒前
lucia发布了新的文献求助10
14秒前
14秒前
辛勤寻凝完成签到,获得积分10
16秒前
洋洋完成签到,获得积分10
17秒前
11231发布了新的文献求助10
18秒前
歪歪完成签到,获得积分10
18秒前
19秒前
20秒前
20秒前
xiangxl完成签到,获得积分10
20秒前
LOTUS发布了新的文献求助10
25秒前
LBB发布了新的文献求助10
25秒前
27秒前
lsfAZIBhydrogel完成签到,获得积分20
28秒前
28秒前
隐形曼青的应助被zjl123采纳,获得10
29秒前
29秒前
32秒前
LOTUS完成签到,获得积分10
34秒前
SciGPT的应助被馍馍采纳,获得10
34秒前
西门访天发布了新的文献求助10
35秒前
35秒前
樊孟发布了新的文献求助10
35秒前
万能图书馆的应助被智许采纳,获得10
36秒前
daomaihu发布了新的文献求助100
36秒前
高分求助中
(应助此贴封号)通过应助OA文献获取积分 10000
Rosenblum, Global Change Biology 800
Computational Chemical Reaction Engineering: Modeling, Simulation, and Design with MATLAB 600
Organizational Behavior 510
Management and the Arts 510
Production Logging: Theoretical and Interpretive Elements 400
CLSI C56QG Examples of Hemolyzed, Icteric, and Lipemic/Turbid Samples Quick Guide 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 计算机科学 工程类 纳米技术 内科学 物理 有机化学 化学工程 生物化学 复合材料 光电子学 细胞生物学 心理学 量子力学 催化作用 物理化学 电极
热门帖子
关注 科研通微信公众号,转发送积分 7815305
求助须知:如何正确求助?哪些是违规求助? 9344935
关于积分的说明 20526671
捐赠科研通 7408065
什么是DOI,文献DOI怎么找? 3330903
关于科研通互助平台的介绍 2477377
邀请新用户注册赠送积分活动 2350556