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J Med Chem. 2020 Nov 12;63(21):12460-12484. doi: 10.1021/acs.jmedchem.0c00830. Epub 2020 Jul 16.
2
Nanotechnology-Based Histone Deacetylase Inhibitors for Cancer Therapy.基于纳米技术的组蛋白去乙酰化酶抑制剂用于癌症治疗
Front Cell Dev Biol. 2020 Jun 3;8:400. doi: 10.3389/fcell.2020.00400. eCollection 2020.
3
Histone Deacetylases and Histone Deacetylase Inhibitors: Molecular Mechanisms of Action in Various Cancers.组蛋白去乙酰化酶与组蛋白去乙酰化酶抑制剂:在多种癌症中的分子作用机制
Adv Biomed Res. 2019 Oct 31;8:63. doi: 10.4103/abr.abr_142_19. eCollection 2019.
4
CB-Dock: a web server for cavity detection-guided protein-ligand blind docking.CB-Dock:一个用于腔检测引导的蛋白质-配体盲目对接的网络服务器。
Acta Pharmacol Sin. 2020 Jan;41(1):138-144. doi: 10.1038/s41401-019-0228-6. Epub 2019 Jul 1.
5
Pracinostat plus azacitidine in older patients with newly diagnosed acute myeloid leukemia: results of a phase 2 study.普拉西诺司他联合阿扎胞苷治疗新诊断的老年急性髓系白血病:一项 2 期研究结果。
Blood Adv. 2019 Feb 26;3(4):508-518. doi: 10.1182/bloodadvances.2018027409.
6
In silico approaches for investigating the binding propensity of apigenin and luteolin against class I HDAC isoforms.基于计算机的方法研究芹菜素和木樨草素与 I 类组蛋白去乙酰化酶同工型的结合倾向。
Future Med Chem. 2018 Aug 1;10(16):1925-1945. doi: 10.4155/fmc-2018-0020. Epub 2018 Jul 11.
7
Combinatorial Strategy towards Identifying Potential Hotspots during Inhibition of Structurally Identical HDAC1 and HDAC2 Enzymes for Effective Chemotherapy against Neurological Disorders.用于识别在抑制结构相同的HDAC1和HDAC2酶以有效治疗神经系统疾病的化疗过程中潜在热点的组合策略。
Front Mol Neurosci. 2017 Nov 9;10:357. doi: 10.3389/fnmol.2017.00357. eCollection 2017.
8
In silico and In vitro evaluation of the anti-inflammatory potential of Centratherum punctatum Cass-A.刺苞斑鸠菊-A抗炎潜力的计算机模拟和体外评估
J Biomol Struct Dyn. 2017 Mar;35(4):765-780. doi: 10.1080/07391102.2016.1160840. Epub 2016 Jul 8.
9
Histone deacetylase inhibitor pracinostat in doublet therapy: a unique strategy to improve therapeutic efficacy and to tackle herculean cancer chemoresistance.组蛋白去乙酰化酶抑制剂普拉西诺司他用于联合治疗:一种提高治疗效果和攻克顽固癌症化疗耐药性的独特策略。
Pharm Biol. 2016 Sep;54(9):1926-35. doi: 10.3109/13880209.2015.1135966. Epub 2016 Feb 5.
10
PLIP: fully automated protein-ligand interaction profiler.PLIP:全自动蛋白质-配体相互作用分析器。
Nucleic Acids Res. 2015 Jul 1;43(W1):W443-7. doi: 10.1093/nar/gkv315. Epub 2015 Apr 14.

通过未来主义的药物设计策略,表征组蛋白去乙酰化酶抑制剂普拉西诺司他对I类HDAC同工酶的结合强度和能量特征。

Characterizing binding intensity and energetic features of histone deacetylase inhibitor pracinostat towards class I HDAC isozymes through futuristic drug designing strategy.

作者信息

Ganai Shabir Ahmad

机构信息

Division of Basic Sciences and Humanities, FoA, SKUAST-Kashmir, Sopore, 193201 Jammu & Kashmir India.

出版信息

In Silico Pharmacol. 2021 Feb 9;9(1):18. doi: 10.1007/s40203-021-00077-y. eCollection 2021.

DOI:10.1007/s40203-021-00077-y
PMID:33628709
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7873132/
Abstract

Pracinostat, an emerging hydroxamate histone deacetylase (HDAC) inhibitor has shown better efficacy than approved inhibitor suberoylanilide hydroxamic acid (SAHA). Apart from haematological malignancies, this inhibitor has shown promising results in preclinical models of solid tumours. Being pan-inhibitor pracinostat targets various classical HDACs and has demonstrated antiproliferative properties in a series of cancer cell lines. Currently, no energetic and structural studies are available about the pracinostat against four HDAC isozymes of Class I. Taking this into account, the current study involved flexible molecular docking for gaining insights regarding pracinostat-HDAC isozyme interactions, molecular mechanics generalized born surface area (MM-GBSA) for estimating binding affinity of this inhibitor towards these isozymes and energetically optimized pharmacophores (e-Pharmacophores) technique for delineating the critical e-pharmacophoric features of pracinostat in its least energy state in the binding pocket of these HDACs. The outcome from this study will help in further optimization of pracinostat towards better therapeutic and the e-Pharmacophores generated will serve as queries in e-Pharamcophores guided virtual screening.

摘要

普拉西诺司他是一种新型的异羟肟酸类组蛋白去乙酰化酶(HDAC)抑制剂,已显示出比已获批的抑制剂伏立诺他(SAHA)更好的疗效。除血液系统恶性肿瘤外,该抑制剂在实体瘤的临床前模型中也显示出有前景的结果。作为一种泛抑制剂,普拉西诺司他靶向多种经典HDAC,并且在一系列癌细胞系中都表现出抗增殖特性。目前,尚无关于普拉西诺司他针对I类四种HDAC同工酶的能量和结构研究。考虑到这一点,本研究采用灵活分子对接以深入了解普拉西诺司他与HDAC同工酶的相互作用,运用分子力学广义Born表面面积法(MM-GBSA)来估计该抑制剂对这些同工酶的结合亲和力,并采用能量优化药效团(e-药效团)技术来描绘普拉西诺司他在这些HDAC结合口袋中处于最低能量状态时的关键电子药效特征。本研究的结果将有助于进一步优化普拉西诺司他以实现更好的治疗效果,并且所生成的电子药效团将作为电子药效团导向虚拟筛选中的查询依据。