Identification of Small-Molecule Inhibitors for Enterovirus A71 IRES by Structure-Based Virtual Screening.

IF 5.6 2区 化学 Q1 CHEMISTRY, MEDICINAL Journal of Chemical Information and Modeling Pub Date : 2025-03-01 DOI:10.1021/acs.jcim.4c01903
Kaichen Wang, Sean Xian Yu Lee, Chaitanya K Jaladanki, Wei Shen Ho, Justin Jang Hann Chu, Hao Fan, Christina Li Lin Chai
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Abstract

Structured RNAs play a crucial role in regulating gene expression, which includes both protein synthesis and RNA processing. Dysregulation of these processes is associated with various conditions, including viral and bacterial infections, as well as cancer. The unique tertiary structures of structured RNAs provide an opportunity for small molecules to directly modulate such processes, making them promising targets for drug discovery. Although small-molecule inhibitors targeting RNA have shown early success, in silico strategies like structure-based virtual screening remain underutilized for RNA-targeted drug discovery. In this study, we developed a virtual screening scheme targeting the structural ensemble of EV-A71 IRES SL II, a noncoding viral RNA element essential for viral replication. We subsequently optimized the experimentally validated hit compound IRE-03 from virtual screening through an "analog-by-catalog" search. This led to the identification of a more potent IRES inhibitor, IRE-03-3, validated through biochemical and functional assays with an EC50 value of 11.96 μM against viral proliferation. Our findings demonstrate that structure-based virtual screening can be effectively applied to RNA targets, providing exciting new opportunities for future antiviral drug discovery.

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来源期刊
CiteScore
9.80
自引率
10.70%
发文量
529
审稿时长
1.4 months
期刊介绍: The Journal of Chemical Information and Modeling publishes papers reporting new methodology and/or important applications in the fields of chemical informatics and molecular modeling. Specific topics include the representation and computer-based searching of chemical databases, molecular modeling, computer-aided molecular design of new materials, catalysts, or ligands, development of new computational methods or efficient algorithms for chemical software, and biopharmaceutical chemistry including analyses of biological activity and other issues related to drug discovery. Astute chemists, computer scientists, and information specialists look to this monthly’s insightful research studies, programming innovations, and software reviews to keep current with advances in this integral, multidisciplinary field. As a subscriber you’ll stay abreast of database search systems, use of graph theory in chemical problems, substructure search systems, pattern recognition and clustering, analysis of chemical and physical data, molecular modeling, graphics and natural language interfaces, bibliometric and citation analysis, and synthesis design and reactions databases.
期刊最新文献
Identification of Small-Molecule Inhibitors for Enterovirus A71 IRES by Structure-Based Virtual Screening. SynTemp: Efficient Extraction of Graph-Based Reaction Rules from Large-Scale Reaction Databases. Accelerated Hydration Site Localization and Thermodynamic Profiling. Applying Molecular Dynamics Simulations to Unveil the Anisotropic Growth Mechanism of Gold Nanorods: Advances and Perspectives. GLMCyp: A Deep Learning-Based Method for CYP450-Mediated Reaction Site Prediction.
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