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Increasing the Realism of in Silico pHLIP Peptide Models with a Novel pH Gradient CpHMD Method
[Image: see text] 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 selectivi...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical Society
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9775217/ https://www.ncbi.nlm.nih.gov/pubmed/36257921 http://dx.doi.org/10.1021/acs.jctc.2c00880 |
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author | Silva, Tomás F. D. Vila-Viçosa, Diogo Machuqueiro, Miguel |
author_facet | Silva, Tomás F. D. Vila-Viçosa, Diogo Machuqueiro, Miguel |
author_sort | Silva, Tomás F. D. |
collection | PubMed |
description | [Image: see text] 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 (pK(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 pK(a) estimations and was a pivotal step in bridging the in silico data and the in vivo cell experiments. |
format | Online Article Text |
id | pubmed-9775217 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | American Chemical Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-97752172022-12-23 Increasing the Realism of in Silico pHLIP Peptide Models with a Novel pH Gradient CpHMD Method Silva, Tomás F. D. Vila-Viçosa, Diogo Machuqueiro, Miguel J Chem Theory Comput [Image: see text] 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 (pK(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 pK(a) estimations and was a pivotal step in bridging the in silico data and the in vivo cell experiments. American Chemical Society 2022-10-18 2022-11-08 /pmc/articles/PMC9775217/ /pubmed/36257921 http://dx.doi.org/10.1021/acs.jctc.2c00880 Text en © 2022 American Chemical Society https://creativecommons.org/licenses/by/4.0/Permits the broadest form of re-use including for commercial purposes, provided that author attribution and integrity are maintained (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Silva, Tomás F. D. Vila-Viçosa, Diogo Machuqueiro, Miguel Increasing the Realism of in Silico pHLIP Peptide Models with a Novel pH Gradient CpHMD Method |
title | Increasing the Realism of in Silico pHLIP Peptide
Models with a Novel pH Gradient CpHMD Method |
title_full | Increasing the Realism of in Silico pHLIP Peptide
Models with a Novel pH Gradient CpHMD Method |
title_fullStr | Increasing the Realism of in Silico pHLIP Peptide
Models with a Novel pH Gradient CpHMD Method |
title_full_unstemmed | Increasing the Realism of in Silico pHLIP Peptide
Models with a Novel pH Gradient CpHMD Method |
title_short | Increasing the Realism of in Silico pHLIP Peptide
Models with a Novel pH Gradient CpHMD Method |
title_sort | increasing the realism of in silico phlip peptide
models with a novel ph gradient cphmd method |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9775217/ https://www.ncbi.nlm.nih.gov/pubmed/36257921 http://dx.doi.org/10.1021/acs.jctc.2c00880 |
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