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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 |
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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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E. ; Maigret, B. ; Martins, N. F.</creator><creatorcontrib>Bresso, E. ; Leroux, V. ; Urban, M. ; Hammond-Kosack, K. E. ; Maigret, B. ; Martins, N. F.</creatorcontrib><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. 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E.</creatorcontrib><creatorcontrib>Maigret, B.</creatorcontrib><creatorcontrib>Martins, N. F.</creatorcontrib><title>Structure-based virtual screening of hypothetical inhibitors of the enzyme longiborneol synthase—a potential target to reduce Fusarium head blight disease</title><title>Journal of molecular modeling</title><addtitle>J Mol Model</addtitle><addtitle>J Mol Model</addtitle><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.</description><subject>Agrochemicals - chemistry</subject><subject>Agrochemicals - metabolism</subject><subject>Agrochemicals - pharmacology</subject><subject>Amino Acid Sequence</subject><subject>Bioinformatics</subject><subject>Characterization and Evaluation of Materials</subject><subject>Chemistry</subject><subject>Chemistry and Materials Science</subject><subject>Computer Appl. in Life Sciences</subject><subject>Computer Applications in Chemistry</subject><subject>Computer Science</subject><subject>Enzyme Inhibitors - chemistry</subject><subject>Enzyme Inhibitors - metabolism</subject><subject>Enzyme Inhibitors - pharmacology</subject><subject>Fungal Proteins - chemistry</subject><subject>Fungal Proteins - classification</subject><subject>Fungal Proteins - metabolism</subject><subject>Fusarium - enzymology</subject><subject>Fusarium - metabolism</subject><subject>Fusarium - pathogenicity</subject><subject>High-Throughput Screening Assays - methods</subject><subject>Ligases - antagonists & inhibitors</subject><subject>Ligases - genetics</subject><subject>Ligases - metabolism</subject><subject>Models, Molecular</subject><subject>Molecular Medicine</subject><subject>Molecular Structure</subject><subject>Original Paper</subject><subject>Phylogeny</subject><subject>Plant Diseases - microbiology</subject><subject>Protein Binding</subject><subject>Protein Domains</subject><subject>Sequence Homology, Amino Acid</subject><subject>Sesquiterpenes - metabolism</subject><subject>Theoretical and Computational Chemistry</subject><issn>1610-2940</issn><issn>0948-5023</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><recordid>eNp9kc1q3TAUhEVpSC5JHiCbom0XbnTkH9nLEJqmcKGLtmshS8e2gq90keTA7aoP0WWerk9SGbdZdnVgZr6BwxByA-wDMCZuI2NtVxUMmqJkHAp4Q3asq9qiZrx8S3bQACt4V7ELch3jE2MMeN3UnJ-TCy5KXjVltSMvX1NYdFoCFr2KaOizDWlRM406IDrrRuoHOp2OPk2YrM6OdZPtbfIhrlaWKbofpwPS2bvR9j449Jk_uTTlxt8_fymaaXTJZjipMGKiydOAZtFIH5aogl0OdEJlaD_bcUrU2IiZvSJng5ojXv-9l-T7w8dv94_F_sunz_d3-0JXHFLRCQA0uupEV2kBpodBG2jaVgnBe8OgrZVhvAbeDbUwAkTXVoNpDJRl0_S6vCTvt95JzfIY7EGFk_TKyse7vVw1BmXH2xqeIWdhy-rgYww4vALA5DqM3IbJTCPXYeTKvNuY49If0LwS_2bIAb4FYrbciEE--SW4_PN_Wv8AL-2cgg</recordid><startdate>20160701</startdate><enddate>20160701</enddate><creator>Bresso, E.</creator><creator>Leroux, V.</creator><creator>Urban, M.</creator><creator>Hammond-Kosack, K. 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F.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Structure-based virtual screening of hypothetical inhibitors of the enzyme longiborneol synthase—a potential target to reduce Fusarium head blight disease</atitle><jtitle>Journal of molecular modeling</jtitle><stitle>J Mol Model</stitle><addtitle>J Mol Model</addtitle><date>2016-07-01</date><risdate>2016</risdate><volume>22</volume><issue>7</issue><spage>163</spage><pages>163-</pages><artnum>163</artnum><issn>1610-2940</issn><eissn>0948-5023</eissn><abstract>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. 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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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