ArticleThe journal of physical chemistry. B2024
Updates to Protex for Simulating Proton Transfers in an Ionic Liquid.
Article in The journal of physical chemistry. B, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Parametrizing reaction probabilities for proton transfers in protic ionic liquids.Frontiers in chemistry · 2026Article
- Comprehensive Evaluation of Human and Murine Protein Coronae Formed on Choline Carboxylic Acid Ionic Liquid-Modified PLGA Nanoparticles.Bioconjugate chemistry · 2025Article
- Insights from the Absorption Coefficient for the Development of Polarizable (Multipole) Force Fields.Molecules (Basel, Switzerland) · 2025Article
- The interplay of polarizable water and protein in the activation of the M2 channel.Frontiers in pharmacology · 2025Article
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Authors and funding
4 authors.
Funding
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Abstract
The Python-based program Protex was initially developed for simulating proton transfers in a pure protic ionic liquid via polarizable molecular dynamics simulations. This method employs a single topology approach wherein deprotonated species retain a dummy atom, which is transformed into a real hydrogen atom during the protonation process. In this work, we extended Protex to include more intricate systems and to facilitate the simulation of the Grotthuss mechanism to enhance alignment with the empirical findings. The handling of proton transfer events within Protex was further refined for increased flexibility. In the original model, each deprotonated molecule contained a single dummy atom connected to the hydrogen acceptor atom. This model posed limitations for molecules with multiple atoms that could undergo protonation. To mitigate this issue, Protex was extended to execute a proton transfer when one of these potential atoms was within a suitable proximity for the transfer event. For the purpose of maintaining simplicity, Protex continues to utilize only a single dummy atom per deprotonated molecule. Another new feature pertains to the determination of the eligibility for a proton transfer event. A range of acceptable distances can now be defined within which the transfer probability is gradually turned off. These modifications allow for a more nuanced approach to simulating proton transfer events, offering greater accuracy and control of the modeling process.
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Registered trials
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