Selective Moonlighting Cell-Penetrating Peptides

Cell penetrating peptides (CPPs) are molecules capable of passing through biological membranes. This capacity has been used to deliver impermeable molecules into cells, such as drugs and DNA probes, among others. However, the internalization of these peptides lacks specificity: CPPs internalize indi...

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Main Authors: Rafael Morán-Torres, David A. Castillo González, Maria Luisa Durán-Pastén, Beatriz Aguilar-Maldonado, Susana Castro-Obregón, Gabriel Del Rio
Format: Article
Language:English
Published: MDPI AG 2021-07-01
Series:Pharmaceutics
Subjects:
Online Access:https://www.mdpi.com/1999-4923/13/8/1119
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author Rafael Morán-Torres
David A. Castillo González
Maria Luisa Durán-Pastén
Beatriz Aguilar-Maldonado
Susana Castro-Obregón
Gabriel Del Rio
author_facet Rafael Morán-Torres
David A. Castillo González
Maria Luisa Durán-Pastén
Beatriz Aguilar-Maldonado
Susana Castro-Obregón
Gabriel Del Rio
author_sort Rafael Morán-Torres
collection DOAJ
description Cell penetrating peptides (CPPs) are molecules capable of passing through biological membranes. This capacity has been used to deliver impermeable molecules into cells, such as drugs and DNA probes, among others. However, the internalization of these peptides lacks specificity: CPPs internalize indistinctly on different cell types. Two major approaches have been described to address this problem: (i) targeting, in which a receptor-recognizing sequence is added to a CPP, and (ii) activation, where a non-active form of the CPP is activated once it interacts with cell target components. These strategies result in multifunctional peptides (i.e., penetrate and target recognition) that increase the CPP’s length, the cost of synthesis and the likelihood to be degraded or become antigenic. In this work we describe the use of machine-learning methods to design short selective CPP; the reduction in size is accomplished by embedding two or more activities within a single CPP domain, hence we referred to these as moonlighting CPPs. We provide experimental evidence that these designed moonlighting peptides penetrate selectively in targeted cells and discuss areas of opportunity to improve in the design of these peptides.
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spelling doaj.art-0413ea7315124937821d2d37de30caf72023-11-22T09:12:44ZengMDPI AGPharmaceutics1999-49232021-07-01138111910.3390/pharmaceutics13081119Selective Moonlighting Cell-Penetrating PeptidesRafael Morán-Torres0David A. Castillo González1Maria Luisa Durán-Pastén2Beatriz Aguilar-Maldonado3Susana Castro-Obregón4Gabriel Del Rio5Department of Biochemistry and Structural Biology, Institute of Cellular Physiology, National Autonomous University of Mexico, UNAM, Mexico City 04510, MexicoDepartment of Biochemistry and Structural Biology, Institute of Cellular Physiology, National Autonomous University of Mexico, UNAM, Mexico City 04510, MexicoLaboratorio Nacional de Canalopatias, National Autonomous University of Mexico, UNAM, Mexico City 04510, MexicoDepartment of Neurodevelopment and Physiology, Institute of Cellular Physiology, National Autonomous University of Mexico, Mexico City 04510, MexicoDepartment of Neurodevelopment and Physiology, Institute of Cellular Physiology, National Autonomous University of Mexico, Mexico City 04510, MexicoDepartment of Biochemistry and Structural Biology, Institute of Cellular Physiology, National Autonomous University of Mexico, UNAM, Mexico City 04510, MexicoCell penetrating peptides (CPPs) are molecules capable of passing through biological membranes. This capacity has been used to deliver impermeable molecules into cells, such as drugs and DNA probes, among others. However, the internalization of these peptides lacks specificity: CPPs internalize indistinctly on different cell types. Two major approaches have been described to address this problem: (i) targeting, in which a receptor-recognizing sequence is added to a CPP, and (ii) activation, where a non-active form of the CPP is activated once it interacts with cell target components. These strategies result in multifunctional peptides (i.e., penetrate and target recognition) that increase the CPP’s length, the cost of synthesis and the likelihood to be degraded or become antigenic. In this work we describe the use of machine-learning methods to design short selective CPP; the reduction in size is accomplished by embedding two or more activities within a single CPP domain, hence we referred to these as moonlighting CPPs. We provide experimental evidence that these designed moonlighting peptides penetrate selectively in targeted cells and discuss areas of opportunity to improve in the design of these peptides.https://www.mdpi.com/1999-4923/13/8/1119cell-penetrating peptidemachine learningmoonlight proteincomputational biologyprotein function predictionmultifunctional protein
spellingShingle Rafael Morán-Torres
David A. Castillo González
Maria Luisa Durán-Pastén
Beatriz Aguilar-Maldonado
Susana Castro-Obregón
Gabriel Del Rio
Selective Moonlighting Cell-Penetrating Peptides
Pharmaceutics
cell-penetrating peptide
machine learning
moonlight protein
computational biology
protein function prediction
multifunctional protein
title Selective Moonlighting Cell-Penetrating Peptides
title_full Selective Moonlighting Cell-Penetrating Peptides
title_fullStr Selective Moonlighting Cell-Penetrating Peptides
title_full_unstemmed Selective Moonlighting Cell-Penetrating Peptides
title_short Selective Moonlighting Cell-Penetrating Peptides
title_sort selective moonlighting cell penetrating peptides
topic cell-penetrating peptide
machine learning
moonlight protein
computational biology
protein function prediction
multifunctional protein
url https://www.mdpi.com/1999-4923/13/8/1119
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