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Increasing the Realism of in Silico pHLIP Peptide Models with a Novel pH Gradient CpHMD Method.

Tomás F D SilvaDiogo Vila-ViçosaMiguel Machuqueiro
Published in: Journal of chemical theory and computation (2022)
The pH-low insertion peptides (pHLIP) are pH-dependent membrane inserting peptides, whose function depends on the cell microenvironment acidity. Several peptide variants have been designed to improve upon the wt -sequence, particularly the state transition kinetics and the selectivity for tumor pH. The variant 3 (Var3) peptide is a 27 residue long peptide, with a key titrating residue (Asp-13) that, despite showing a modest performance in liposomes (p K ins ∼ 5.0), excelled in tumor cell experiments. To help rationalize these results, we focused on the pH gradient in the cell membrane, which is one of the crucial properties that are not present in liposomes. We extended our CpHMD-L method and its pH replica-exchange (pHRE) implementation to include a pH gradient and mimic the pHLIP-membrane microenvironment in a cell where the internal pH is fixed (pH 7.2) and the external pH is allowed to change. We showed that, by properly modeling the pH-gradient, we can correctly predict the experimentally observed loss and gain of performance in tumor cells experiments by the wt and Var3 sequences, respectively. In sum, the pH gradient implementation allowed for more accurate and realistic p K a estimations and was a pivotal step in bridging the in silico data and the in vivo cell experiments.
Keyphrases
  • healthcare
  • single cell
  • primary care
  • molecular docking
  • mesenchymal stem cells
  • molecular dynamics
  • high resolution
  • amino acid
  • genome wide
  • electronic health record
  • drug release
  • data analysis