Epigenetic-based cancer therapeutics: new potential HDAC8 inhibitors

被引:6
作者
Hassanzadeh, Malihe [1 ]
Mahernia, Shabnam [2 ]
Caprini, Gianluca [3 ]
Fossati, Gianluca [3 ]
Adib, Mehdi [4 ]
Moakedi, Faezeh [5 ]
Amanlou, Massoud [1 ,2 ]
机构
[1] Univ Tehran Med Sci, Fac Pharm, Dept Med Chem, POB 14155-6451, Tehran, Iran
[2] Univ Tehran Med Sci, TIPS, Drug Design & Dev Res Ctr, Tehran, Iran
[3] Italfarmaco SpA, Ctr Res, Cinisello Balsamo, Italy
[4] Univ Tehran, Coll Sci, Sch Chem, Tehran, Iran
[5] Univ Tehran, Coll Sci, Dept Biotechnol, Tehran, Iran
关键词
HDAC8; molecular dynamics simulation; pharmacophore screening; molecular docking; binding energy calculation; HISTONE DEACETYLASE INHIBITORS; DRUG DISCOVERY; HIGH-THROUGHPUT; DOCKING; EXPRESSION; LIGANDS; DOMAIN; CELLS; DNMT1; TOOL;
D O I
10.1080/07391102.2020.1813203
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Designing dual small molecule inhibitors against enzymes associated with cancer has turned into a new strategy in cancer chemotherapy. Targeting DNA methyltransferase (DNMT) and histone deacetylase (HDAC) enzymes, involved in epigenetic modifications, are considered as promising treatments for a wide range of cancers, due to their association with the initiation, proliferation, and survival of cancer cells. In this study, for the first time, the dual inhibitors of the histone deacetylases 8 (HDAC8) and DNA methyltransferase 1 (DNMT1) has introduced as novel potential candidates for epigenetic-based cancer therapeutics. This research has been facilitated by employing pharmacophore-based virtual screening of ZINC and Maybridge databases, as well as performing molecular docking, molecular dynamics simulations and free binding energy calculation on the top derived compound. Results have demonstrated that the suggested compounds not only adopt highly favorable conformations but also possess strong binding interaction with the HDAC8 enzyme. Additionally, the obtained results from the experimental assay confirmed the predicted behavior of inhibitors from virtual screening. These results can be used for further optimization to yield promising more effective candidates for the treatment of cancer. Communicated by Ramaswamy H. Sarma
引用
收藏
页码:297 / 311
页数:15
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