ArticleBioorganic & medicinal chemistry2014
Binding free energies for nicotine analogs inhibiting cytochrome P450 2A6 by a combined use of molecular dynamics simulations and QM/MM-PBSA calculations.
Article in Bioorganic & medicinal chemistry, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed, 21 citations in OpenAlex.
- Characterizing oxidative metabolites of 6-methylnicotine (6MN; aka Metatine): divergent metabolism from nicotine and identification of urinary biomarkers of exposure.Toxicological sciences : an official journal of the Society of Toxicology · 2025Article
- Accurate Binding Free Energy Method from End-State MD Simulations.Journal of chemical information and modeling · 2022Article
- Heterogeneous CPU+GPU-Enabled Simulations for DFTB Molecular Dynamics of Large Chemical and Biological Systems.Journal of chemical theory and computation · 2019Article
- Recent Developments and Applications of the MMPBSA Method.Frontiers in molecular biosciences · 2017Review
- The MM/PBSA and MM/GBSA methods to estimate ligand-binding affinities.Expert opinion on drug discovery · 2015Review
Corrections and comments
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Authors and funding
4 authors at 1 institution in 2 countries.
Funding
Abstract
Molecular dynamics (MD) simulations and hybrid quantum mechanical/molecular mechanical (QM/MM) calculations have been performed to explore the dynamic behaviors of cytochrome P450 2A6 (CYP2A6) binding with nicotine analogs (that are typical inhibitors) and to calculate their binding free energies in combination with Poisson-Boltzmann surface area (PBSA) calculations. The combined MD simulations and QM/MM-PBSA calculations reveal that the most important structural parameters affecting the CYP2A6-inhibitor binding affinity are two crucial internuclear distances, that is, the distance between the heme iron atom of CYP2A6 and the coordinating atom of the inhibitor, and the hydrogen-bonding distance between the N297 side chain of CYP2A6 and the pyridine nitrogen of the inhibitor. The combined MD simulations and QM/MM-PBSA calculations have led to dynamic CYP2A6-inhibitor binding structures that are consistent with the observed dynamic behaviors and structural features of CYP2A6-inhibitor binding, and led to the binding free energies that are in good agreement with the experimentally-derived binding free energies. The agreement between the calculated binding free energies and the experimentally-derived binding free energies suggests that the combined MD and QM/MM-PBSA approach may be used as a valuable tool to accurately predict the CYP2A6-inhibitor binding affinities in future computational design of new, potent and selective CYP2A6 inhibitors.
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Registered trials
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