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基于结构相似性筛选并结合综合结构生物化学方法来探索针对组蛋白去乙酰化酶(HDAC)-6的高亲和力抑制剂。

Structure similarity based screening coupled to integrated structural biochemistry approach for exploring the high affinity inhibitors against histone deacetylase (HDAC)-6.

作者信息

Ganai Shabir Ahmad, Mohan Suma

机构信息

Division of Basic Sciences & Humanities, FoH, SKUAST-Kashmir, Shalimar, Srinagar, 190025 Jammu and Kashmir India.

School of Chemical and Biotechnology, SASTRA University, Thanjavur, 613401 Tamil Nadu India.

出版信息

In Silico Pharmacol. 2025 Jan 2;13(1):8. doi: 10.1007/s40203-024-00294-1. eCollection 2025.

Abstract

Histone deacetylase (HDAC)-6 has overwhelming implications in multiple cancers and neurodegenerative disorders. Unusual HDAC6 expression modulates various signalling mechanisms which in turn forms the aetiology of the above-mentioned disorders. Thus, restoring the typical activity of HDAC6 through small molecules may prove as a promising approach to beat these disorders. Herein, we employed an integrated approach for exploring the high binding affinity manifesting molecules against HDAC6. We screened the entire PubChem database using Tubastatin A as the reference (query) molecule following which we carried out 110 molecular docking (XP-mode) and 110 MM-GBSA experiments. Thirty-three molecules demonstrated raised binding affinity than query in the HDAC6 active site. Further, the top 3 binders selected on logical grounds were subjected to interaction study, two hit molecules and tubastatin-A were subjected to convoluted molecular dynamics and three-dimensional e-Pharmacophores mapping was done to delineate the rationale behind the high binding tendency of hit molecules over control molecule. This work provides a solid foundation for additional research towards the development of lead molecules from the said hits for therapeutic intervention against HDAC6 overexpression-driven disorders.

摘要

组蛋白去乙酰化酶(HDAC)-6在多种癌症和神经退行性疾病中具有重大影响。异常的HDAC6表达会调节各种信号传导机制,进而形成上述疾病的病因。因此,通过小分子恢复HDAC6的典型活性可能是战胜这些疾病的一种有前景的方法。在此,我们采用一种综合方法来探索对HDAC6具有高结合亲和力的分子。我们以Tubastatin A作为参考(查询)分子筛选了整个PubChem数据库,随后进行了110次分子对接(XP模式)和110次MM-GBSA实验。33个分子在HDAC6活性位点表现出比查询分子更高的结合亲和力。此外,基于逻辑选择的前3种结合剂进行了相互作用研究,对2种命中分子和Tubastatin-A进行了复杂分子动力学研究,并进行了三维电子药效团映射,以阐明命中分子相对于对照分子具有高结合倾向的原理。这项工作为进一步研究从上述命中分子开发先导分子以治疗HDAC6过表达驱动的疾病奠定了坚实基础。

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