Simulating chalcogen bonding using molecular mechanics: a pseudoatom approach to model ebselen.
Chalcogen bonding
Ebselen
GROMACS
Molecular mechanics.
σ-hole
Journal
Journal of molecular modeling
ISSN: 0948-5023
Titre abrégé: J Mol Model
Pays: Germany
ID NLM: 9806569
Informations de publication
Date de publication:
24 Feb 2022
24 Feb 2022
Historique:
received:
23
08
2021
accepted:
29
12
2021
entrez:
24
2
2022
pubmed:
25
2
2022
medline:
25
2
2022
Statut:
epublish
Résumé
The organoselenium compound ebselen has recently been investigated as a treatment for COVID-19; however, efforts to model ebselen in silico have been hampered by the lack of an efficient and accurate method to assess its binding to biological macromolecules. We present here a Generalized Amber Force Field modification which incorporates classical parameters for the selenium atom in ebselen, as well as a positively charged pseudoatom to simulate the σ-hole, a quantum mechanical phenomenon that dominates the chemistry of ebselen. Our approach is justified using an energy decomposition analysis of a number of density functional theory-optimized structures, which shows that the σ-hole interaction is primarily electrostatic in origin. Finally, our model is verified by conducting molecular dynamics simulations on a number of simple complexes, as well as the clinically relevant enzyme SOD1 (superoxide dismutase), which is known to bind to ebselen. Graphical Abstract Ebselen is an organoselenium drug that has shown promise for the treatment of a number of conditions. Computational modelling of drug-target complexes is commonly performed to determine the likely mechanism of action, however this is difficult in the case of ebselen, as an important mode of interaction is not simulated using current techniques. We present here an extension to common methods, which accurately captures this interaction.
Identifiants
pubmed: 35201444
doi: 10.1007/s00894-021-05023-5
pii: 10.1007/s00894-021-05023-5
pmc: PMC8867462
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
66Subventions
Organisme : Australian Research Council
ID : LE170100200
Organisme : Australian Research Council
ID : LE170100065
Informations de copyright
© 2022. The Author(s).
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