2015
DOI: 10.1016/j.fct.2015.09.009
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Hazard identification of cis/trans -zearalenone through the looking-glass

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Cited by 24 publications
(16 citation statements)
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“…Pharmacophoric modeling of the CK2 binding site was performed using the Flapsite tool of the FLAP software (www.moldi scove ry.com), while the GRID algorithm was used to investigate the corresponding pharmacophoric space (Baroni et al 2007;Carosati et al 2004). Docking simulations were done using the software GOLD (Genetic Optimization for Ligand Docking), as it previously succeeded in providing reliable architectures of binding and in predicting the activity of compounds of toxicological concern (e.g., Dellafiora et al 2015;Maldonado-Rojas et al 2011). Specifically, the model of the catalytic domain of human CK2 derives from the crystallographic structure having PDB code 3OWL (Prudent et al 2010).…”
Section: Structure-based Molecular Modelingmentioning
confidence: 99%
“…Pharmacophoric modeling of the CK2 binding site was performed using the Flapsite tool of the FLAP software (www.moldi scove ry.com), while the GRID algorithm was used to investigate the corresponding pharmacophoric space (Baroni et al 2007;Carosati et al 2004). Docking simulations were done using the software GOLD (Genetic Optimization for Ligand Docking), as it previously succeeded in providing reliable architectures of binding and in predicting the activity of compounds of toxicological concern (e.g., Dellafiora et al 2015;Maldonado-Rojas et al 2011). Specifically, the model of the catalytic domain of human CK2 derives from the crystallographic structure having PDB code 3OWL (Prudent et al 2010).…”
Section: Structure-based Molecular Modelingmentioning
confidence: 99%
“…The capability of each mutation to affect the InlA-Ecad surface interaction was assessed and compared to the wt complex computing the overall interaction score of each complex with the HINT scoring function [26]. In particular, HINT score has an inverse relationship to the free energy of binding (the higher the score, the stronger the interaction expected) [34] and it previously proved reliable to compute protein-macromolecule complex formation (including protein-protein and protein-DNA complex) [22,35].…”
Section: Assessment Of Interface Interactionmentioning
confidence: 99%
“…This approach was further exploited to predict and rank ZEN metabolites towards ER for hazard characterization [43,44]. The investigation of receptor-ligand interactions through docking simulation proved to accurately rank estrogenic potencies of ZEN and its metabolites, showing the suitability of the model to address estrogenic potency for this group of compounds [43,44].…”
Section: Mycotoxin and Nuclear Receptorsmentioning
confidence: 99%