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基于结构的天然产物分子作为糖苷酶抑制剂的虚拟筛选

Structure based virtual screening of natural product molecules as glycosidase inhibitors.

作者信息

Moorthy N S Hari Narayana, Brás Natércia F, Ramos Maria J, Fernandes Pedro A

机构信息

Department of Pharmacy, Indira Gandhi National Tribal University, Amarkantak, MP 484887 India.

UCIBIO, REQUIMTE, Departamento de Química e Bioquímica, Faculdade de Ciências, Universidade do Porto, Rua do Campo Alegre, 6874169-007 Porto, Portugal.

出版信息

In Silico Pharmacol. 2021 Oct 16;9(1):56. doi: 10.1007/s40203-021-00115-9. eCollection 2021.

Abstract

UNLABELLED

Objective of the present investigation comprised of the application of in silico methods to discover novel natural product (NP) based potential inhibitors for carbohydrate mediated diseases. Structure based drug design studies (molecular docking and structure based pharmacophore analysis)  were carried out on a series of natural product compounds to identify significant bioactive molecules to inhibit α-mannosidase (I and II) and β-galactosidase enzymes. Furthermore, protein ligand interaction fingerprint analysis, molecular dynamics simulations and molecular access system (MACCS) fingerprint analysis were performed to understand the binding behaviors of the studied molecules. The results derived from these analyses showed that the identified compounds exhibit significant binding interactions with the active site residues. The compounds, NP-51, NP-81 and NP-165 have shown significant docking score against the studied enzymes (α-mannosidases-I, α-mannosidases-II and β-galactosidases). The fingerprint studies showed that the presence of rings (aromatic or aliphatic) with sulfur atoms, nitrogen atoms, methyl groups, etc. have favorable effects on the α-mannosidase II inhibitory activity. However, the presence of halogen atoms substituted in the molecules have reduced inhibitory ability against α-mannosidase II. The compound, NP-165 has significant activity against both enzymes (α-mannosidases and β-galactosidases). These studies accomplished that the compounds identified through in silico methodologies can be used to develop semisynthetic derivatives of the glycosidase inhibitors and can be screened for the treatment of different carbohydrate mediated diseases.

SUPPLEMENTARY INFORMATION

The online version contains supplementary material available at 10.1007/s40203-021-00115-9.

摘要

未标注

本研究的目的是应用计算机模拟方法来发现基于天然产物(NP)的新型潜在抑制剂,用于治疗碳水化合物介导的疾病。对一系列天然产物化合物进行了基于结构的药物设计研究(分子对接和基于结构的药效团分析),以鉴定抑制α-甘露糖苷酶(I和II)和β-半乳糖苷酶的重要生物活性分子。此外,还进行了蛋白质-配体相互作用指纹分析、分子动力学模拟和分子访问系统(MACCS)指纹分析,以了解所研究分子的结合行为。这些分析结果表明,所鉴定的化合物与活性位点残基表现出显著的结合相互作用。化合物NP-51、NP-81和NP-165对所研究的酶(α-甘露糖苷酶-I、α-甘露糖苷酶-II和β-半乳糖苷酶)显示出显著的对接分数。指纹研究表明,含有硫原子、氮原子、甲基等的环(芳香族或脂肪族)的存在对α-甘露糖苷酶II的抑制活性有有利影响。然而,分子中取代的卤原子的存在降低了对α-甘露糖苷酶II的抑制能力。化合物NP-165对两种酶(α-甘露糖苷酶和β-半乳糖苷酶)都具有显著活性。这些研究表明,通过计算机模拟方法鉴定的化合物可用于开发糖苷酶抑制剂的半合成衍生物,并可用于筛选治疗不同碳水化合物介导疾病的药物。

补充信息

在线版本包含可在10.1007/s40203-021-00115-9获取的补充材料。

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