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基于结构的虚拟筛选预测斜蛛属蜘蛛毒液天然抑制剂

Haitham Ahmed Al-Madhagi

数字中医药(英文)2023,Vol.6Issue(1):67-72,6.
数字中医药(英文)2023,Vol.6Issue(1):67-72,6.DOI:10.1016/j.dcmed.2023.03.001

基于结构的虚拟筛选预测斜蛛属蜘蛛毒液天然抑制剂

Structure-based virtual screening to predict Loxosceles spider venom natural inhibitors

Haitham Ahmed Al-Madhagi1

作者信息

  • 1. Biochemical Technology Program,Dhamar University,Dhamar,Yemen
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摘要

Abstract

Objective Loxosceles spider bite accidents are rising in wide areas of the world which neces-sitates the exploration of natural inhibitors to inhibit the most significant enzymes,namely sphingomyelinase D(Smase D)and hyaluronidase.Methods Virtual screening using traditional Chinese medicine(TCM)against Smase D(PDB ID:2F9R)and hyaluronidase was performed by the DrugRep server.Absorption,distribution,metabolism,and excretion(ADME)parameters were predicted via the same server.In addi-tion,molecular dynamics(MD)simulation was conducted using CABS-flex 2.0 tool to priorit-ize the best potential natural inhibitors.Results Tiliroside and Digitoxin were the best natural inhibitors from TCM to Smase D and hyaluronidase in terms of molecular docking and ADME parameters,while Digitoxin and β-carotene were the most potent inhibitors against hyaluronidase.MD simulations demon-strated the stability of the docked complexes.Conclusion In-silico inhibition of Loxosceles spidervenom enzymes through TCM was demonstrated,which deserves wet-lab experimentation.

关键词

斜蛛属蜘蛛/鞘磷脂酶D/中医药/分子对接/分子动力学模拟/吸收、分布、代谢与排泄(ADME)

Key words

Loxosceles spider/Sphingomyelinase D(Smase D)/Traditional Chinese medicine(TCM)/Molecular docking/Molecular dynamics(MD)simulations/Absorption,distribution,metabolism,and excretion(ADME)

引用本文复制引用

Haitham Ahmed Al-Madhagi..基于结构的虚拟筛选预测斜蛛属蜘蛛毒液天然抑制剂[J].数字中医药(英文),2023,6(1):67-72,6.

数字中医药(英文)

OACSCD

2096-479X

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