A Modeling Study for Structure Features of β-N-acetyl-D-hexosaminidase from Ostrinia furnacalis and its Novel Inhibitor Allosamidin: Species Selectivity and Multi-Target Characteristics

  • Yanli Wang
  • , Tian Liu
  • , Qing Yang
  • , Zhong Li
  • , Xuhong Qian*
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

10 Scopus citations

Abstract

Insect β-N-acetyl-D-hexosaminidase, a chitin degrading enzyme, is physiologically important during the unique life cycle of the insect. OfHex1, a β-N-acetyl-D-hexosaminidase from the insect, Ostrinia furna, which was obtained by our laboratory (Gen Bank No.: ABI81756.1), was studied by molecular modeling as well as by molecular docking with its inhibitor, allosamidin. 3D model of OfHex1 was built through the ligand-supported homology modeling approach. The binding modes of its substrate and inhibitor were proposed through docking and cluster analysis. The pocket's size and shape of OfHex1 differ from that of human β-N-acetyl-D-hexosaminidase, which determined that allosamidin can selectively inhibit OfHex1 instead of human β-N-acetyl-D-hexosaminidase. Moreover, the multi-target characteristics of allosamidin that inhibit enzymes from different families, OfHex1 (EC 3.2.1.52; GH20) and chitinase (EC 3.2.1.14; GH18), were compared. The common -1/+1 sugar-binding site of chitinase and OfHex1, and the -2/-3 sugar-binding site in chitinase contribute to the binding of allosamidin. This work, at molecular level, proved that OfHex1 could be a potential species-specific target for novel green pesticide design and also provide the possibility to develop allosamidin or its derivatives as a new type of insecticide to 'hit two birds with one stone', which maybe become a novel strategy in pest control.

Original languageEnglish
Pages (from-to)572-582
Number of pages11
JournalChemical Biology and Drug Design
Volume79
Issue number4
DOIs
StatePublished - Apr 2012
Externally publishedYes

Keywords

  • Allosamidin
  • Hexosaminidase
  • Molecular modeling
  • Multi-target
  • Species selectivity

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