Laboratory for Bioinformatics and Computational Chemistry, Institute of Nuclear Sciences VINCA, University of Belgrade, 11001 Belgrade, Serbia.
Department of Pathology, University of Texas Medical Branch, Galveston, TX 77555, USA.
Int J Mol Sci. 2024 Apr 30;25(9):4911. doi: 10.3390/ijms25094911.
The influenza A virus nonstructural protein 1 (NS1), which is crucial for viral replication and immune evasion, has been identified as a significant drug target with substantial potential to contribute to the fight against influenza. The emergence of drug-resistant influenza A virus strains highlights the urgent need for novel therapeutics. This study proposes a combined theoretical criterion for the virtual screening of molecular libraries to identify candidate NS1 inhibitors. By applying the criterion to the ZINC Natural Product database, followed by ligand-based virtual screening and molecular docking, we proposed the most promising candidate as a potential NS1 inhibitor. Subsequently, the selected natural compound was experimentally evaluated, revealing measurable virus replication inhibition activity in cell culture. This approach offers a promising avenue for developing novel anti-influenza agents targeting the NS1 protein.
甲型流感病毒非结构蛋白 1(NS1)对于病毒复制和免疫逃逸至关重要,已被确定为一个重要的药物靶点,具有很大的潜力来对抗流感。具有抗药性的甲型流感病毒株的出现突显了对新型治疗方法的迫切需求。本研究提出了一种组合的理论标准,用于虚拟筛选分子文库,以鉴定候选的 NS1 抑制剂。通过将该标准应用于 ZINC 天然产物数据库,然后进行基于配体的虚拟筛选和分子对接,我们提出了最有前途的候选物作为潜在的 NS1 抑制剂。随后,对所选的天然化合物进行了实验评估,结果显示在细胞培养中具有可测量的病毒复制抑制活性。这种方法为开发针对 NS1 蛋白的新型抗流感药物提供了有前途的途径。