Literature DB >> 27324634

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

E Bresso1, V Leroux2, M Urban3, K E Hammond-Kosack3, B Maigret2, N F Martins4.   

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. 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.

Entities:  

Keywords:  Culmorin; Ensemble docking; Fusarium mycotoxins; Homology modeling; Inhibitors; Molecular dynamics

Mesh:

Substances:

Year:  2016        PMID: 27324634     DOI: 10.1007/s00894-016-3021-1

Source DB:  PubMed          Journal:  J Mol Model        ISSN: 0948-5023            Impact factor:   1.810


  57 in total

1.  Pose prediction and virtual screening performance of GOLD scoring functions in a standardized test.

Authors:  John W Liebeschuetz; Jason C Cole; Oliver Korb
Journal:  J Comput Aided Mol Des       Date:  2012-02-28       Impact factor: 3.686

Review 2.  Cheminformatics approaches to analyze diversity in compound screening libraries.

Authors:  Lakshmi B Akella; David DeCaprio
Journal:  Curr Opin Chem Biol       Date:  2010-04-22       Impact factor: 8.822

3.  Protein structure modeling with MODELLER.

Authors:  Narayanan Eswar; David Eramian; Ben Webb; Min-Yi Shen; Andrej Sali
Journal:  Methods Mol Biol       Date:  2008

Review 4.  Mycotoxin production by Aspergillus, Fusarium and Penicillium species.

Authors:  M J Sweeney; A D Dobson
Journal:  Int J Food Microbiol       Date:  1998-09-08       Impact factor: 5.277

5.  New substructure filters for removal of pan assay interference compounds (PAINS) from screening libraries and for their exclusion in bioassays.

Authors:  Jonathan B Baell; Georgina A Holloway
Journal:  J Med Chem       Date:  2010-04-08       Impact factor: 7.446

Review 6.  Virtual screening strategies in drug discovery: a critical review.

Authors:  A Lavecchia; C Di Giovanni
Journal:  Curr Med Chem       Date:  2013       Impact factor: 4.530

7.  Natural and natural-like phenolic inhibitors of type B trichothecene in vitro production by the wheat (Triticum sp.) pathogen Fusarium culmorum.

Authors:  Giovanna Pani; Barbara Scherm; Emanuela Azara; Virgilio Balmas; Zahra Jahanshiri; Paola Carta; Davide Fabbri; Maria Antonietta Dettori; Angela Fadda; Alessandro Dessì; Roberto Dallocchio; Quirico Migheli; Giovanna Delogu
Journal:  J Agric Food Chem       Date:  2014-05-22       Impact factor: 5.279

8.  Fusarium graminearum forms mycotoxin producing infection structures on wheat.

Authors:  Marike J Boenisch; Wilhelm Schäfer
Journal:  BMC Plant Biol       Date:  2011-07-28       Impact factor: 4.215

9.  I-TASSER server: new development for protein structure and function predictions.

Authors:  Jianyi Yang; Yang Zhang
Journal:  Nucleic Acids Res       Date:  2015-04-16       Impact factor: 16.971

10.  The Phyre2 web portal for protein modeling, prediction and analysis.

Authors:  Lawrence A Kelley; Stefans Mezulis; Christopher M Yates; Mark N Wass; Michael J E Sternberg
Journal:  Nat Protoc       Date:  2015-05-07       Impact factor: 13.491

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.