Toward Accurate pH-Dependent Binding Constant Predictions Using Molecular Docking and Constant-pH MD Calculations

pH is an important physicochemical property that modulates proteins' structure and interaction patterns. A simple change in a site's protonation state in an enzyme's catalytic pocket can strongly alter its activity and its affinity to substrate, products, or inhibitors. We addressed this pH effect issue by evaluating its impact on donepezil binding to acetylcholinesterase (AChE). We compared the binding affinities obtained from molecular docking (weighted from the protonation states sampled by constant-pH MD) with those from molecular mechanics/Poisson-Boltzmann surface area and isothermal titration calorimetry data. The computational methods showed a clear trend where donepezil binding to the catalytic cavity is improved with the drug protonation (lowering pH). However, the loss of binding affinity observed experimentally at pH 6.0 indicates that other phenomena eluding our computational approaches are occurring. Possible factors include the shape of the access tunnel to the AChE catalytic pocket (which is captured in our MD time scale) or an entropic penalty difference between neutral and protonated donepezil. Altogether, this work highlighted the need to improve our computational methods to capture the pH effects in protein/drug binding, while also exposing the limitations that will inevitably arise from these new advances.

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Publication Details

Journal
Journal of Chemical Theory and Computation
Published
2025-02-20
DOI
https://doi.org/10.1021/acs.jctc.4c01291
Citations
3
Primary Topic
Computational Drug Discovery Methods
Type
article
Field-Weighted Citation Impact
4.51

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article

Toward Accurate pH-Dependent Binding Constant Predictions Using Molecular Docking and Constant-pH MD Calculations

João N. M. Vitorino, Nuno F. B. Oliveira, Pedro B. P. S. Reis, Maciej Maj et al.
3 citations
Journal of Chemical Theory and Computation
Computational Drug Discovery Methods
4.51
article

Toward Accurate pH-Dependent Binding Constant Predictions Using Molecular Docking and Constant-pH MD Calculations

João N. M. Vitorino, Nuno F. B. Oliveira, Pedro B. P. S. Reis, Maciej Maj, Miguel Machuqueiro, Piotr Drączkowski, Krzysztof Jóźwiak, Mohannad J. Yousef
article en
3 citations

Abstract

pH is an important physicochemical property that modulates proteins' structure and interaction patterns. A simple change in a site's protonation state in an enzyme's catalytic pocket can strongly alter its activity and its affinity to substrate, products, or inhibitors. We addressed this pH effect issue by evaluating its impact on donepezil binding to acetylcholinesterase (AChE). We compared the binding affinities obtained from molecular docking (weighted from the protonation states sampled by constant-pH MD) with those from molecular mechanics/Poisson-Boltzmann surface area and isothermal titration calorimetry data. The computational methods showed a clear trend where donepezil binding to the catalytic cavity is improved with the drug protonation (lowering pH). However, the loss of binding affinity observed experimentally at pH 6.0 indicates that other phenomena eluding our computational approaches are occurring. Possible factors include the shape of the access tunnel to the AChE catalytic pocket (which is captured in our MD time scale) or an entropic penalty difference between neutral and protonated donepezil. Altogether, this work highlighted the need to improve our computational methods to capture the pH effects in protein/drug binding, while also exposing the limitations that will inevitably arise from these new advances.

Journal of Chemical Theory and ComputationVol. 21(5)
Medical University of Lublin (PL), University of Lisbon (PT), Bayer (Germany) (DE)
Fundação para a Ciência e a Tecnologia
Zero hunger
Openalex Percentile: Top 6%
Computational Drug Discovery Methods
4.51
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