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Structure-based virtual screening of hypothetical inhibitors of the enzyme longiborneol synthase—a potential target to reduce Fusarium head blight disease

Fusarium head blight (FHB) is one of the most destructive diseases of wheat and other cereals worldwide. During infection, the Fusarium fungi produce mycotoxins that represent a high risk to human and animal health. Developing small-molecule inhibitors to specifically reduce mycotoxin levels would b...

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Published in:Journal of molecular modeling 2016-07, Vol.22 (7), p.163, Article 163
Main Authors: Bresso, E., Leroux, V., Urban, M., Hammond-Kosack, K. E., Maigret, B., Martins, N. F.
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description Fusarium head blight (FHB) is one of the most destructive diseases of wheat and other cereals worldwide. During infection, the Fusarium fungi produce mycotoxins that represent a high risk to human and animal health. Developing small-molecule inhibitors to specifically reduce mycotoxin levels would be highly beneficial since current treatments unspecifically target the Fusarium pathogen. Culmorin possesses a well-known important synergistically virulence role among mycotoxins, and longiborneol synthase appears to be a key enzyme for its synthesis, thus making longiborneol synthase a particularly interesting target. This study aims to discover potent and less toxic agrochemicals against FHB. These compounds would hamper culmorin synthesis by inhibiting longiborneol synthase. In order to select starting molecules for further investigation, we have conducted a structure-based virtual screening investigation. A longiborneol synthase structural model is first built using homology modeling, followed by molecular dynamics simulations that provided the required input for a protein–ligand ensemble docking procedure. From this strategy, the three most interesting compounds (hits) were selected among the 25 top-ranked docked compounds from a library of 15,000 drug-like compounds. These putative inhibitors of longiborneol synthase provide a sound starting point for further studies involving molecular modeling coupled to biochemical experiments. This process could eventually lead to the development of novel approaches to reduce mycotoxin contamination in harvested grain.
doi_str_mv 10.1007/s00894-016-3021-1
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subjects Agrochemicals - chemistry
Agrochemicals - metabolism
Agrochemicals - pharmacology
Amino Acid Sequence
Bioinformatics
Characterization and Evaluation of Materials
Chemistry
Chemistry and Materials Science
Computer Appl. in Life Sciences
Computer Applications in Chemistry
Computer Science
Enzyme Inhibitors - chemistry
Enzyme Inhibitors - metabolism
Enzyme Inhibitors - pharmacology
Fungal Proteins - chemistry
Fungal Proteins - classification
Fungal Proteins - metabolism
Fusarium - enzymology
Fusarium - metabolism
Fusarium - pathogenicity
High-Throughput Screening Assays - methods
Ligases - antagonists & inhibitors
Ligases - genetics
Ligases - metabolism
Models, Molecular
Molecular Medicine
Molecular Structure
Original Paper
Phylogeny
Plant Diseases - microbiology
Protein Binding
Protein Domains
Sequence Homology, Amino Acid
Sesquiterpenes - metabolism
Theoretical and Computational Chemistry
title Structure-based virtual screening of hypothetical inhibitors of the enzyme longiborneol synthase—a potential target to reduce Fusarium head blight disease
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