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通过药效团建模、分子对接和分子动力学研究将DrugBank分子重新用作双非异羟肟酸酯HDAC8和HDAC2抑制剂。

Repurposing of DrugBank molecules as dual non-hydroxamate HDAC8 and HDAC2 inhibitors by pharmacophore modeling, molecular docking, and molecular dynamics studies.

作者信息

Sarkar Kakali, Debnath Sudhan, Ghosh Rajat, Choudhury Deijy, Chakraborty Kanak, Saha Partha, Singha Achinta, Nandi Addrita, Goswami Bidhan, Ghosh Arabinda, Sil Samir Kumar

机构信息

Molecular Genetics and Cancer Biology Laboratory, Department of Human Physiology, Tripura University, Suryamaninagar, Tripura, India.

Department of Chemistry, Netaji Subhash Mahavidyalaya, Gomati, Tripura, India.

出版信息

J Biomol Struct Dyn. 2024 Nov 27:1-23. doi: 10.1080/07391102.2024.2428829.

DOI:10.1080/07391102.2024.2428829
PMID:39604351
Abstract

HDAC8 and HDAC2 are recently reported to be overexpressed in cervical cancer. To date, studies related to the use of dual targeted HDAC inhibitor to treat cervical cancer are not well explored. Again, majority of the selective HDAC inhibitors discovered so far are hydroxamic acids, which have multiple adverse side-effects due to their strong zinc chelating ability. In this study, we repurposed DrugBank molecules to identify novel non hydroxamate compounds as potential HDAC8/2 dual inhibitors that can be effective for cervical cancer management. Therefore, a comprehensive integrated approach, involving two-tier virtual screening, has been adopted. An initial e-pharmacophore model generation based on the co-ligands associated with HDAC8 and HDAC2 and subsequent PBVS of 12223 drug molecules were performed which eventually yielded 658 hits having fitness scores ≥ 1.0 for both the proteins. Then, SBVS for these hits was done using Glide XP method into the HDAC8 and HDAC2 crystal structures which resulted in 52 hits having XPGS ≤ -9.0 kcal/mol against both the proteins. Following this, they were re-docked into other HDAC isoforms to confirm isoform selectivity. DB11747, DB03973, DB03812, DB07890, and DB03448 were identified as top hits and were finally subjected to molecular dynamics simulation for stability of the complexes and MM-GBSA studies to calculate binding free energies. These hits have stable interactions with both HDAC8 and HDAC2 protein binding sites. ADMET studies brought to limelight the promising pharmacokinetics and safety profiles of the hits. cytotoxicity prediction studies also revealed potent anticancer activity.

摘要

最近有报道称,HDAC8和HDAC2在宫颈癌中过表达。迄今为止,关于使用双重靶向HDAC抑制剂治疗宫颈癌的研究尚未充分探索。此外,到目前为止发现的大多数选择性HDAC抑制剂都是异羟肟酸,由于其强大的锌螯合能力,它们具有多种不良副作用。在本研究中,我们重新利用药物银行分子来鉴定新型非异羟肟酸化合物,作为可能对宫颈癌治疗有效的HDAC8/2双重抑制剂。因此,我们采用了一种综合的方法,包括两层虚拟筛选。首先基于与HDAC8和HDAC2相关的共配体生成电子药效团模型,随后对12223个药物分子进行基于结构的虚拟筛选,最终得到658个对两种蛋白质适应度得分≥1.0的命中化合物。然后,使用Glide XP方法对这些命中化合物进行基于结构的虚拟筛选,将其对接至HDAC8和HDAC2晶体结构中,得到52个对两种蛋白质XPGS≤-9.0 kcal/mol的命中化合物。在此之后,将它们重新对接至其他HDAC亚型以确认亚型选择性。DB11747、DB03973 DB03812、DB07890和DB03448被确定为顶级命中化合物,最后对其进行分子动力学模拟以研究复合物的稳定性,并进行MM-GBSA研究以计算结合自由能。这些命中化合物与HDAC8和HDAC2蛋白结合位点具有稳定的相互作用。ADMET研究突出了这些命中化合物有前景的药代动力学和安全性概况。细胞毒性预测研究也显示出其强大的抗癌活性。

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