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

In Silico Pharmacology Pub Date : 2021-10-16 eCollection Date: 2021-01-01 DOI:10.1007/s40203-021-00115-9
N S Hari Narayana Moorthy, Natércia F Brás, Maria J Ramos, Pedro A Fernandes
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Abstract

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.

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基于结构的糖苷酶抑制剂天然产物分子虚拟筛选。
本研究的目的包括应用计算机方法发现基于天然产物(NP)的新型碳水化合物介导疾病的潜在抑制剂。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),以确定抑制α-甘露糖苷酶(I和II)和β-半乳糖苷酶的显著生物活性分子。此外,通过蛋白质配体相互作用指纹分析、分子动力学模拟和分子通路系统(MACCS)指纹分析来了解所研究分子的结合行为。这些分析的结果表明,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。这些化合物NP-51、NP-81和NP-165对α-甘露糖苷酶- i、α-甘露糖苷酶- ii和β-半乳糖苷酶具有显著的对接得分。指纹图谱研究表明,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的抑制活性有有利的影响。然而,卤素取代的存在降低了分子对α-甘露糖苷酶II的抑制能力。该化合物NP-165对α-甘露糖苷酶和β-半乳糖糖苷酶均有显著的抑制活性。这些研究表明,通过硅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的疾病。补充信息:在线版本包含补充资料,提供地址为10.1007/s40203-021-00115-9。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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