Katsayal Babangida Sanusi, Forcados Gilead Ebiegberi, Yusuf Abdurrahman Pharmacy, Lawal Yunus Aisha, Jibril Shehu Aisha, Nuraddeen Hussaini, Ibrahim Musa Mubarak, Sadiq Idris Zubairu, Abubakar Murtala Bello, Malami Ibrahim, Abubakar Ibrahim Babangida, Muhammad Aliyu
Department of Biochemistry, Faculty of Life Sciences, Ahmadu Bello University, Zaria, Kaduna State Nigeria.
Biochemistry Division, National Veterinary Research Institute, Vom, Nigeria.
In Silico Pharmacol. 2023 Apr 15;11(1):10. doi: 10.1007/s40203-023-00148-2. eCollection 2023.
Prostate cancer is a leading cause of morbidity and mortality among men globally. In this study, we employed an in silico approach to predict the possible mechanisms of action of selected novel compounds reported against prostate cancer epigenetic targets and their derivatives, exhausting through ADMET profiling, drug-likeness, and molecular docking analyses. The selected compounds: sulforaphane, silibinin, 3, 3'-diindolylmethane (DIM), and genistein largely conformed to ADMET and drug-likeness rules including Lipinski's. Docking studies revealed strong binding energy of sulforaphane with HDAC6 (- 4.2 kcal/ mol), DIM versus HDAC2 (- 5.2 kcal/mol), genistein versus HDAC6 (- 4.1 kcal/mol), and silibinin against HDAC1 (- 7.0 kcal/mol) coupled with improved binding affinities and biochemical stabilities after derivatization. Findings from this study may provide insight into the potential epigenetic reprogramming mechanisms of these compounds against prostate cancer and could pave the way toward more success in prostate cancer phytotherapy.
前列腺癌是全球男性发病和死亡的主要原因之一。在本研究中,我们采用计算机模拟方法来预测针对前列腺癌表观遗传靶点及其衍生物报道的所选新型化合物的可能作用机制,通过药物代谢动力学(ADMET)分析、类药性和分子对接分析进行全面研究。所选化合物:萝卜硫素、水飞蓟宾、3,3'-二吲哚甲烷(DIM)和染料木黄酮在很大程度上符合包括Lipinski规则在内的ADMET和类药性规则。对接研究表明,萝卜硫素与HDAC6的结合能很强(-4.2千卡/摩尔),DIM与HDAC2的结合能为(-5.2千卡/摩尔),染料木黄酮与HDAC6的结合能为(-4.1千卡/摩尔),水飞蓟宾与HDAC1的结合能为(-7.0千卡/摩尔),并且衍生化后结合亲和力和生化稳定性有所提高。本研究结果可能有助于深入了解这些化合物针对前列腺癌的潜在表观遗传重编程机制,并可能为前列腺癌植物疗法取得更大成功铺平道路。