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Molecular Docking/Screening for Food Science

A special issue of Molecules (ISSN 1420-3049).

Deadline for manuscript submissions: closed (30 April 2018) | Viewed by 6397

Special Issue Editors


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Guest Editor
Chemistry and of Molecular Modelling, Department of Food Science, University of Parma, Parma, Italy
Interests: molecular modelling; computational methods development; 3D chemicals database; computational food safety; in silico toxicology; nuclear receptors

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Guest Editor
Dipartimento di Farmacia, Università di Pisa, V. Bonanno 6, 56126 Pisa, Italy
Interests: Molecular Modeling of small molecules in transthyretin; G-Protein coupled receptors; metalloenzymes; Drug Design and ADMET in silico
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Molecular modelling techniques have been widely used for 30 years in Medicinal Chemistry and Computational Chemistry to gain time and money for the development of a possible new drug, or to design new molecules, or to understand a mechanism of action (MOA). These techniques are not known in food science, food toxicology, etc., were computational approaches are mostly statistic applications or quantitative structure–activity relationship (QSAR) applications. The aim of this Special Issue is to collect a series of papers about new applications of molecular modelling in food science, in particular, screening and docking/scoring techniques. The authors should describe new applications of computational approaches in food science to find new endocrine disruptors, to decipher interaction mechanisms of mycotoxins, to screen new poisoning food contact materials in a large 3D database, to predict food molecule metabolite activity towards known receptors, and to study the interaction between a protein and a food chemical. It would be preferable for authors to describe their theoretical approaches first, and then one or more successful applications of this approach using case studies. Moreover, these approaches could be used in order to limit animal use in testing.

Prof. Dr. Cozzini Pietro
Guest Editor

Manuscript Submission Information

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Keywords

  • Docking methods and software
  • Screening Methods
  • Energy evaluation (scoring)
  • 3D databases
  • Food additives
  • Endocrine disruptors
  • Xenoestrogens
  • Food contact materials

Published Papers (1 paper)

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Research

13 pages, 3293 KiB  
Article
Molecular Docking of Potential Inhibitors of Broccoli Myrosinase
by J. Román, A. Castillo and A. Mahn
Molecules 2018, 23(6), 1313; https://doi.org/10.3390/molecules23061313 - 30 May 2018
Cited by 16 | Viewed by 5695
Abstract
Glucosinolates are secondary metabolites occurring in Brassicaceae plants whose hydrolysis may yield isothiocyanates, widely recognized as health-promoting compounds. Myrosinase catalyzes this conversion. The chemical mechanism involves an unstable intermediary (thiohydroxamate-O-sulfonate) that spontaneously decomposes into isothiocyanates or other non-bioactive compounds depending on [...] Read more.
Glucosinolates are secondary metabolites occurring in Brassicaceae plants whose hydrolysis may yield isothiocyanates, widely recognized as health-promoting compounds. Myrosinase catalyzes this conversion. The chemical mechanism involves an unstable intermediary (thiohydroxamate-O-sulfonate) that spontaneously decomposes into isothiocyanates or other non-bioactive compounds depending on pH and cofactors. At acidic pH, non-bioactive compounds such as nitriles and thiocyanates are formed, while at neutral pH isothiocyanates are obtained. Broccoli myrosinase has been poorly studied so far. Recently, its amino acidic sequence was elucidated, and a structural model was built. The aim of this work was to study the molecular interaction of broccoli myrosinase with different ligands at acidic pH to propose possible inhibitors that prevent formation of undesirable compounds at acidic pH, and that at neutral pH dissociate from the enzyme, allowing formation of isothiocyanates. The interaction between broccoli myrosinase and 40 ligands was studied by molecular docking simulations. Both the enzyme and each inhibitor were set at pH 3.0. Amygdaline and arbutin showed the highest affinity to broccoli myrosinase in this condition. The residues that stabilize the complexes agree with those that stabilize the substrate (Gln207, Glu429, Tyr352, and Ser433). Accordingly, amygdaline and arbutin would perform as competitive inhibitors of myrosinase at pH 3.0. Full article
(This article belongs to the Special Issue Molecular Docking/Screening for Food Science)
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