In Silico and In Vivo Studies of a Tumor-Penetrating and Interfering Peptide with Antitumoral Effect on Xenograft Models of Breast Cancer
The combination of a tumor-penetrating peptide (TPP) with a peptide able to interfere witha given protein–protein interaction (IP) is a promising strategy with potential clinical application.Little is known about the impact of fusing a TPP with an IP, both in terms of internalization andfunctional e...
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2023
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I19-R120-10915-1599882023-11-09T20:07:14Z http://sedici.unlp.edu.ar/handle/10915/159988 In Silico and In Vivo Studies of a Tumor-Penetrating and Interfering Peptide with Antitumoral Effect on Xenograft Models of Breast Cancer Marín, Gustavo Horacio Murail, Samuel Andrini, Laura Beatriz García, Marcela Nilda Loisel, Severine Tuffery, Pierre Rebollo, Angelita 2023-04-03 2023-11-09T16:37:33Z en Ciencias Médicas peptide cancer breast The combination of a tumor-penetrating peptide (TPP) with a peptide able to interfere witha given protein–protein interaction (IP) is a promising strategy with potential clinical application.Little is known about the impact of fusing a TPP with an IP, both in terms of internalization andfunctional effect. Here, we analyze these aspects in the context of breast cancer, targeting PP2A/SET interaction, using both in silico and in vivo approaches. Our results support the fact that state-of-theart deep learning approaches developed for protein–peptide interaction modeling can reliably identify good candidate poses for the IP-TPP in interaction with the Neuropilin-1 receptor. The association of the IP with the TPP does not seem to affect the ability of the TPP to bind to Neuropilin-1. Molecular simulation results suggest that peptide IP-GG-LinTT1 in a cleaved form interacts with Neuropilin-1 in a more stable manner and has a more helical secondary structure than the cleaved IP-GG-iRGD.Surprisingly, in silico investigations also suggest that the non-cleaved TPPs can bind the Neuropilin-1 in a stable manner. The in vivo results using xenografts models show that both bifunctional peptides resulting from the combination of the IP and either LinTT1 or iRGD are effective against tumoral growth. The peptide iRGD-IP shows the highest stability to serum proteases degradation while having the same antitumoral effect as Lin TT1-IP, which is more sensitive to proteases degradation.Our results support the development of the TPP-IP strategy as therapeutic peptides against cancer Facultad de Ciencias Médicas Articulo Articulo http://creativecommons.org/licenses/by/4.0/ Creative Commons Attribution 4.0 International (CC BY 4.0) application/pdf |
institution |
Universidad Nacional de La Plata |
institution_str |
I-19 |
repository_str |
R-120 |
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SEDICI (UNLP) |
language |
Inglés |
topic |
Ciencias Médicas peptide cancer breast |
spellingShingle |
Ciencias Médicas peptide cancer breast Marín, Gustavo Horacio Murail, Samuel Andrini, Laura Beatriz García, Marcela Nilda Loisel, Severine Tuffery, Pierre Rebollo, Angelita In Silico and In Vivo Studies of a Tumor-Penetrating and Interfering Peptide with Antitumoral Effect on Xenograft Models of Breast Cancer |
topic_facet |
Ciencias Médicas peptide cancer breast |
description |
The combination of a tumor-penetrating peptide (TPP) with a peptide able to interfere witha given protein–protein interaction (IP) is a promising strategy with potential clinical application.Little is known about the impact of fusing a TPP with an IP, both in terms of internalization andfunctional effect. Here, we analyze these aspects in the context of breast cancer, targeting PP2A/SET interaction, using both in silico and in vivo approaches. Our results support the fact that state-of-theart deep learning approaches developed for protein–peptide interaction modeling can reliably identify good candidate poses for the IP-TPP in interaction with the Neuropilin-1 receptor. The association of the IP with the TPP does not seem to affect the ability of the TPP to bind to Neuropilin-1. Molecular simulation results suggest that peptide IP-GG-LinTT1 in a cleaved form interacts with Neuropilin-1 in a more stable manner and has a more helical secondary structure than the cleaved IP-GG-iRGD.Surprisingly, in silico investigations also suggest that the non-cleaved TPPs can bind the Neuropilin-1 in a stable manner. The in vivo results using xenografts models show that both bifunctional peptides resulting from the combination of the IP and either LinTT1 or iRGD are effective against tumoral growth. The peptide iRGD-IP shows the highest stability to serum proteases degradation while having the same antitumoral effect as Lin TT1-IP, which is more sensitive to proteases degradation.Our results support the development of the TPP-IP strategy as therapeutic peptides against cancer |
format |
Articulo Articulo |
author |
Marín, Gustavo Horacio Murail, Samuel Andrini, Laura Beatriz García, Marcela Nilda Loisel, Severine Tuffery, Pierre Rebollo, Angelita |
author_facet |
Marín, Gustavo Horacio Murail, Samuel Andrini, Laura Beatriz García, Marcela Nilda Loisel, Severine Tuffery, Pierre Rebollo, Angelita |
author_sort |
Marín, Gustavo Horacio |
title |
In Silico and In Vivo Studies of a Tumor-Penetrating and Interfering Peptide with Antitumoral Effect on Xenograft Models of Breast Cancer |
title_short |
In Silico and In Vivo Studies of a Tumor-Penetrating and Interfering Peptide with Antitumoral Effect on Xenograft Models of Breast Cancer |
title_full |
In Silico and In Vivo Studies of a Tumor-Penetrating and Interfering Peptide with Antitumoral Effect on Xenograft Models of Breast Cancer |
title_fullStr |
In Silico and In Vivo Studies of a Tumor-Penetrating and Interfering Peptide with Antitumoral Effect on Xenograft Models of Breast Cancer |
title_full_unstemmed |
In Silico and In Vivo Studies of a Tumor-Penetrating and Interfering Peptide with Antitumoral Effect on Xenograft Models of Breast Cancer |
title_sort |
in silico and in vivo studies of a tumor-penetrating and interfering peptide with antitumoral effect on xenograft models of breast cancer |
publishDate |
2023 |
url |
http://sedici.unlp.edu.ar/handle/10915/159988 |
work_keys_str_mv |
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