4.4 Article

Quantitative prediction of charge regulation in oligopeptides

Journal

MOLECULAR SYSTEMS DESIGN & ENGINEERING
Volume 6, Issue 2, Pages 122-131

Publisher

ROYAL SOC CHEMISTRY
DOI: 10.1039/d0me00147c

Keywords

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Funding

  1. Czech Science foundation [19-10429S]
  2. Grant agency of the Charles University [GAUK 978218]
  3. Ministry of Education, Youth and Sports of the Czech Republic, Operational Programme Research, Development and Education: Excellent Research Teams [CZ.02.1.01/0.0/0.0/15_003/0000417-CUCAM]
  4. project e-Infrastruktura CZ within the program Projects of Large Research, Development and Innovations Infrastructures [e-INFRA LM2018140]

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This study quantitatively analyzed the ionization behavior of weak ampholytes using a flexible polymer model and oligopeptides as model ampholytes, showing differences in charge states due to electrostatic interactions between charged groups and conformational flexibility. By comparing simulations with experimental results, the model's reliability in predicting the charge state of various peptide sequences was demonstrated, providing a foundation for predictive bottom-up design of charge-regulating systems.
Weak ampholytes are ubiquitous in nature and commonly found in artificial pH-responsive systems. However, our limited understanding of their charge regulation and the lack of predictive capabilities hinder the bottom-up design of such systems. Here, we used a coarse-grained model of a flexible polymer with weakly ionisable monomer units to quantitatively analyse the ionisation behaviour of two oligopeptides as model ampholytes. Our simulations predict differences in the charge states between oligopeptides and monomeric amino acids, showing that not only electrostatic interactions between charged groups but also conformational flexibility plays a key role in the charge regulation. By comparing our simulations with experimental results from potentiometric titration, capillary zone electrophoresis and NMR, we demonstrated that our model reliably predicts the charge state of various peptide sequences. Ultimately, our simulation model is the first step towards understanding the charge regulation in flexible ampholytes, and towards predictive bottom-up design of charge-regulating systems.

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