Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Silva, Tomás F. D., Vila-Viçosa, Diogo, Machuqueiro, Miguel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2022
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
_version_ 1784855589815320576
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
work_keys_str_mv AT silvatomasfd increasingtherealismofinsilicophlippeptidemodelswithanovelphgradientcphmdmethod
AT vilavicosadiogo increasingtherealismofinsilicophlippeptidemodelswithanovelphgradientcphmdmethod
AT machuqueiromiguel increasingtherealismofinsilicophlippeptidemodelswithanovelphgradientcphmdmethod