Artificial intelligence-enabled discovery of a RIPK3 inhibitor with neuroprotective effects in an acute glaucoma mouse model

青光眼 神经保护 坏死性下垂 体内 药理学 医学 程序性细胞死亡 视网膜 药物发现 视网膜神经节细胞 药品 生物信息学 眼科 化学 生物 生物化学 细胞凋亡 生物技术
作者
Xing Tu,Zixing Zou,Jiahui Li,Simiao Zeng,Zhengchao Luo,Gen Li,Yuanxu Gao,Kang Zhang
出处
期刊:Chinese Medical Journal [Lippincott Williams & Wilkins]
被引量:2
标识
DOI:10.1097/cm9.0000000000003387
摘要

Abstract Background: Retinal ganglion cell (RGC) death caused by acute ocular hypertension is an important characteristic of acute glaucoma. Receptor-interacting protein kinase 3 (RIPK3) that mediates necroptosis is a potential therapeutic target for RGC death. However, the current understanding of the targeting agents and mechanisms of RIPK3 in the treatment of glaucoma remains limited. Notably, artificial intelligence (AI) technologies have significantly advanced drug discovery. This study aimed to discover RIPK3 inhibitor with AI assistance. Methods: An acute ocular hypertension model was used to simulate pathological ocular hypertension in vivo . We employed a series of AI methods, including large language and graph neural network models, to identify the target compounds of RIPK3. Subsequently, these target candidates were validated using molecular simulations (molecular docking, absorption, distribution, metabolism, excretion, and toxicity (ADMET) prediction, and molecular dynamics simulations) and biological experiments (Western blotting and fluorescence staining) in vitro and in vivo . Results: AI-driven drug screening techniques have the potential to greatly accelerate drug development. A compound called HG9-91-01, identified using AI methods, exerted neuroprotective effects in acute glaucoma. Our research indicates that all five candidates recommended by AI were able to protect the morphological integrity of RGC cells when exposed to hypoxia and glucose deficiency, and HG9-91-01 showed a higher cell survival rate compared to the other candidates. Furthermore, HG9-91-01 was found to protect the retinal structure and reduce the loss of retinal layers in an acute glaucoma model. It was also observed that the neuroprotective effects of HG9-91-01 were highly correlated with the inhibition of PANoptosis (apoptosis, pyroptosis, and necroptosis). Finally, we found that HG9-91-01 can regulate key proteins related to PANoptosis, indicating that this compound exerts neuroprotective effects in the retina by inhibiting the expression of proteins related to apoptosis, pyroptosis, and necroptosis. Conclusion: AI‐enabled drug discovery revealed that HG9-91-01 could serve as a potential treatment for acute glaucoma.
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
刚刚
2秒前
自由晓绿发布了新的文献求助30
3秒前
ilmadf应助感谢大哥的帮助采纳,获得10
3秒前
搜集达人应助害羞的映雁采纳,获得30
4秒前
林木完成签到,获得积分20
4秒前
彭于晏应助copper采纳,获得10
5秒前
跳跳豆完成签到,获得积分10
5秒前
5秒前
fy发布了新的文献求助10
6秒前
7秒前
清茶旧友发布了新的文献求助10
8秒前
9秒前
Jameszcb完成签到,获得积分10
10秒前
兴奋的天蓉完成签到 ,获得积分10
10秒前
zzhzyt发布了新的文献求助30
11秒前
壮壮不爱吃肉完成签到,获得积分10
11秒前
yzy应助陶醉的小笼包采纳,获得30
12秒前
标致又夏发布了新的文献求助10
12秒前
12秒前
zgt01完成签到,获得积分10
13秒前
yutao发布了新的文献求助10
13秒前
清脆绮南完成签到,获得积分10
15秒前
17秒前
CipherSage应助Alan采纳,获得10
17秒前
张欢馨应助qsy2007采纳,获得10
17秒前
研友_n2KyPZ发布了新的文献求助10
17秒前
18秒前
18秒前
19秒前
迅速金鱼完成签到,获得积分10
19秒前
Owen应助王哒哒采纳,获得10
19秒前
zzuwxj完成签到,获得积分0
20秒前
23秒前
23秒前
研友_n2KyPZ完成签到,获得积分10
23秒前
迅速金鱼发布了新的文献求助10
24秒前
科研通AI6.4应助yutao采纳,获得10
24秒前
xiaolizi发布了新的文献求助30
26秒前
呵呵完成签到 ,获得积分10
26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
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Discerning Saints: Moralization of Intrinsic Motivation and Selective Prosociality at Work 500
Handbuch Trainingswissenschaft – Trainingslehre 500
Additive Manufacturing Design and Applications (ASM Handbook, Volume 24A) 500
Variations: A More Diverse Picture of Contemporary Art 400
Induction Heating and Heat Treatment (ASM Handbook, Volume 4C) 300
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 7589964
求助须知:如何正确求助?哪些是违规求助? 9167466
关于积分的说明 19622210
捐赠科研通 7169307
什么是DOI,文献DOI怎么找? 3267175
关于科研通互助平台的介绍 2432104
邀请新用户注册赠送积分活动 2259377