In Silico and In Vivo Studies of a Tumor-Penetrating and Interfering Peptide with Antitumoral Effect on Xenograft Models of Breast Cancer
- Autores
- Marín, Gustavo Horacio; Murail, Samuel; Andrini, Laura Beatriz; García, Marcela Nilda; Loisel, Severine; Tuffery, Pierre; Rebollo, Angelita
- Año de publicación
- 2023
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- 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 - Materia
-
Ciencias Médicas
peptide
cancer
breast - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- http://creativecommons.org/licenses/by/4.0/
- Repositorio
- Institución
- Universidad Nacional de La Plata
- OAI Identificador
- oai:sedici.unlp.edu.ar:10915/159988
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In Silico and In Vivo Studies of a Tumor-Penetrating and Interfering Peptide with Antitumoral Effect on Xenograft Models of Breast CancerMarín, Gustavo HoracioMurail, SamuelAndrini, Laura BeatrizGarcía, Marcela NildaLoisel, SeverineTuffery, PierreRebollo, AngelitaCiencias MédicaspeptidecancerbreastThe 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 cancerFacultad de Ciencias Médicas2023-04-03info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionArticulohttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfhttp://sedici.unlp.edu.ar/handle/10915/159988enginfo:eu-repo/semantics/altIdentifier/issn/1999-4923info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by/4.0/Creative Commons Attribution 4.0 International (CC BY 4.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-09-03T11:13:44Zoai:sedici.unlp.edu.ar:10915/159988Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-03 11:13:44.738SEDICI (UNLP) - Universidad Nacional de La Platafalse |
dc.title.none.fl_str_mv |
In Silico and In Vivo Studies of a Tumor-Penetrating and Interfering Peptide with Antitumoral Effect on Xenograft Models of Breast Cancer |
title |
In Silico and In Vivo Studies of a Tumor-Penetrating and Interfering Peptide with Antitumoral Effect on Xenograft Models of Breast Cancer |
spellingShingle |
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 Ciencias Médicas peptide cancer breast |
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 |
dc.creator.none.fl_str_mv |
Marín, Gustavo Horacio Murail, Samuel Andrini, Laura Beatriz García, Marcela Nilda Loisel, Severine Tuffery, Pierre Rebollo, Angelita |
author |
Marín, Gustavo Horacio |
author_facet |
Marín, Gustavo Horacio Murail, Samuel Andrini, Laura Beatriz García, Marcela Nilda Loisel, Severine Tuffery, Pierre Rebollo, Angelita |
author_role |
author |
author2 |
Murail, Samuel Andrini, Laura Beatriz García, Marcela Nilda Loisel, Severine Tuffery, Pierre Rebollo, Angelita |
author2_role |
author author author author author author |
dc.subject.none.fl_str_mv |
Ciencias Médicas peptide cancer breast |
topic |
Ciencias Médicas peptide cancer breast |
dc.description.none.fl_txt_mv |
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 |
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 |
publishDate |
2023 |
dc.date.none.fl_str_mv |
2023-04-03 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Articulo http://purl.org/coar/resource_type/c_6501 info:ar-repo/semantics/articulo |
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eng |
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eng |
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