Evidence map›Paper›PMID 42622750›Full record

ArticleMolecular diversity2026

Discovery of novel RIPK3 inhibitors by virtual screening and bioactivity evaluation.

Chenggong Fu, Qin Li, Yuwei Yang, Shukai Gu, Wei Zhao, Xiaojun Yao, Huanxiang Liu

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Article in Molecular diversity, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Chenggong FuFaculty of Applied Sciences, Macao Polytechnic University, Macao, SAR, China.
Qin LiFaculty of Applied Sciences, Macao Polytechnic University, Macao, SAR, China.
Yuwei YangFaculty of Applied Sciences, Macao Polytechnic University, Macao, SAR, China.
Shukai GuFaculty of Applied Sciences, Macao Polytechnic University, Macao, SAR, China.
Wei ZhaoFaculty of Applied Sciences, Macao Polytechnic University, Macao, SAR, China.
Xiaojun YaoFaculty of Applied Sciences, Macao Polytechnic University, Macao, SAR, China. xjyao@mpu.edu.mo.
Huanxiang LiuFaculty of Applied Sciences, Macao Polytechnic University, Macao, SAR, China. hxliu@mpu.edu.mo.

Funding

the Science and Technology Development Fund of Macao SAR 0012/2025/ASJ and 0043/2023/AFJ
6 · The paper itself

Abstract

As the most common chronic neurodegenerative disease, Alzheimer's disease (AD) has limited effective treatment options, highlighting the critical urgency of developing new therapeutic drugs. Receptor-interacting protein kinase 3 (RIPK3) is a key regulatory protein in the process of cell necroptosis and is also a potential target for AD. Existing inhibitors are not suitable for clinical treatment of AD due to problems such as insufficient activity, high toxicity, and poor selectivity. Therefore, the discovery of novel RIPK3 inhibitors is necessary and urgent. This study proposes and applies an integrated virtual screening strategy based on molecular fingerprint similarity, pharmacophore models, molecular docking, and molecular dynamics (MD) simulation. Using this workflow, we selected 54 compounds from approximately 9.7 million compounds for in vitro biological validation. In vitro kinase activity assays showed that three compounds (8019 - 0682, STK930700, and T72029) exhibited good inhibitory activity against RIPK3, with IC

Indexed as

Alzheimer’s diseaseLead compoundsMolecular dynamics simulationRIPK3Virtual screening

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.