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在计算机辅助筛选设计的聚焦化学空间中鉴定出新型酰肼类化合物作为有效的HDAC11抑制剂。

In silico screening of a designed focused chemical space identifies novel alkyl hydrazides as potent HDAC11 inhibitors.

作者信息

Baselious Fady, Hilscher Sebastian, Handke Lukas, Barinka Cyril, Schutkowski Mike, Sippl Wolfgang

机构信息

Department of Medicinal Chemistry, Institute of Pharmacy, Martin-Luther-University of Halle-Wittenberg, Halle (Saale), Germany.

Institute of Biotechnology of the Czech Academy of Sciences, BIOCEV, 252 50, Vestec, Czech Republic.

出版信息

Comput Biol Med. 2025 Sep;196(Pt A):110695. doi: 10.1016/j.compbiomed.2025.110695. Epub 2025 Jul 4.

Abstract

The therapeutic potential of HDAC inhibitors containing a hydroxamic acid moiety as a zinc-binding group (ZBG) is limited in clinical use due to their potential mutagenicity. In addition, hydroxamic acids often exhibit off-target effects that can lead to undesirable toxicity. Therefore, the development of HDAC inhibitors with alternative ZBGs has proven to be a promising approach to overcome these drawbacks. HDAC inhibitors carrying alkyl hydrazide as ZBG have recently been published as selective inhibitors for different HDAC subtypes. In the present study, a ligand-based virtual screening workflow, employing a classification categorical model, was developed and applied for a designed targeted chemical space. The two most promising hits from the virtual screening were synthesized and evaluated by in vitro enzyme inhibition assays. Both hits showed strong inhibition of HDAC11 with IC values in the nanomolar range. In addition, the compounds showed good selectivity towards HDAC11 at a concentration of 1 μM, only HDAC8 was also significantly inhibited among all tested subtypes. Finally, the binding mode of the selected candidates was investigated by docking against different HDACs, followed by molecular dynamics simulations and metadynamics studies to provide insights for further chemical optimization.

摘要

含异羟肟酸部分作为锌结合基团(ZBG)的组蛋白去乙酰化酶(HDAC)抑制剂,由于其潜在的致突变性,在临床应用中的治疗潜力有限。此外,异羟肟酸常常表现出脱靶效应,可导致不良毒性。因此,开发具有替代ZBG的HDAC抑制剂已被证明是克服这些缺点的一种有前景的方法。最近已发表了以烷基酰肼作为ZBG的HDAC抑制剂,作为针对不同HDAC亚型的选择性抑制剂。在本研究中,开发了一种基于配体的虚拟筛选工作流程,采用分类分类模型,并应用于设计的目标化学空间。通过体外酶抑制试验对虚拟筛选中最有前景的两个命中化合物进行了合成和评估。这两个命中化合物均显示出对HDAC11的强烈抑制作用,IC值在纳摩尔范围内。此外,在1 μM浓度下,这些化合物对HDAC11表现出良好的选择性,在所有测试亚型中,只有HDAC8也受到显著抑制。最后,通过与不同HDAC进行对接研究所选候选化合物的结合模式,随后进行分子动力学模拟和元动力学研究,为进一步的化学优化提供见解。

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