Peptidomimetics, designed to mimic peptide biological activity with more drug-like properties, are increasingly pivotal in medicinal chemistry. They offer enhanced systemic delivery, cell penetration, target specificity, and protection against peptidases when compared to their native peptide counterparts. Already utilized in treating diverse diseases like neurodegenerative disorders, cancer and infectious diseases, their future in medicine seems bright, with many peptidomimetics in clinical trials or development stages. Peptidomimetics are well-suited for addressing disturbed protein-protein interactions (PPIs), which often underlie various pathologies. Structural biology and computational methods like molecular dynamics simulations facilitate rational design, whereas machine learning algorithms accelerate protein structure prediction, enabling efficient drug development. Experimental validation via various spectroscopic, biophysical, and biochemical assays confirms computational predictions and guides further optimization. Peptidomimetics, with their tailored constrained structures, represent a frontier in drug design focused on targeting PPIs. In this overview, we present a comprehensive landscape of peptidomimetics, encompassing perspectives on involvement in pathologies, chemical strategies, and methodologies for their characterization, spanning in silico, in vitro and in cell approaches. With increasing interest from pharmaceutical sectors, peptidomimetics hold promise for revolutionizing therapeutic approaches, marking a new era of precision drug discovery.

Peptidomimetics design and characterization: Bridging experimental and computer-based approaches / Romagnoli, Alice; Rexha, Jesmina; Perta, Nunzio; DI CRISTOFANO, Samuele; Borgognoni, Noemi; Venturini, Gloria; Pignotti, Francesco; Raimondo, Domenico; Borsello, Tiziana; DI MARINO, Daniele. - (2024), pp. 1-49. [10.1016/bs.pmbts.2024.07.002].

Peptidomimetics design and characterization: Bridging experimental and computer-based approaches.

Alice Romagnoli
Primo
Membro del Collaboration Group
;
Samuele Di Cristofano
Membro del Collaboration Group
;
Domenico Raimondo;Daniele Di Marino.
Ultimo
Membro del Collaboration Group
2024

Abstract

Peptidomimetics, designed to mimic peptide biological activity with more drug-like properties, are increasingly pivotal in medicinal chemistry. They offer enhanced systemic delivery, cell penetration, target specificity, and protection against peptidases when compared to their native peptide counterparts. Already utilized in treating diverse diseases like neurodegenerative disorders, cancer and infectious diseases, their future in medicine seems bright, with many peptidomimetics in clinical trials or development stages. Peptidomimetics are well-suited for addressing disturbed protein-protein interactions (PPIs), which often underlie various pathologies. Structural biology and computational methods like molecular dynamics simulations facilitate rational design, whereas machine learning algorithms accelerate protein structure prediction, enabling efficient drug development. Experimental validation via various spectroscopic, biophysical, and biochemical assays confirms computational predictions and guides further optimization. Peptidomimetics, with their tailored constrained structures, represent a frontier in drug design focused on targeting PPIs. In this overview, we present a comprehensive landscape of peptidomimetics, encompassing perspectives on involvement in pathologies, chemical strategies, and methodologies for their characterization, spanning in silico, in vitro and in cell approaches. With increasing interest from pharmaceutical sectors, peptidomimetics hold promise for revolutionizing therapeutic approaches, marking a new era of precision drug discovery.
2024
Progress in Molecular Biology and Translational Science
Peptidomimetics Design computational experimental molecular dynamics
02 Pubblicazione su volume::02a Capitolo o Articolo
Peptidomimetics design and characterization: Bridging experimental and computer-based approaches / Romagnoli, Alice; Rexha, Jesmina; Perta, Nunzio; DI CRISTOFANO, Samuele; Borgognoni, Noemi; Venturini, Gloria; Pignotti, Francesco; Raimondo, Domenico; Borsello, Tiziana; DI MARINO, Daniele. - (2024), pp. 1-49. [10.1016/bs.pmbts.2024.07.002].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1726395
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