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Targeting Protein-Protein Interfaces with Peptides: The Contribution of Chemical Combinatorial Peptide Library Approaches.
Monti, Alessandra; Vitagliano, Luigi; Caporale, Andrea; Ruvo, Menotti; Doti, Nunzianna.
Afiliação
  • Monti A; Institute of Biostructures and Bioimaging (IBB), National Research Council (CNR), 80131 Napoli, Italy.
  • Vitagliano L; Institute of Biostructures and Bioimaging (IBB), National Research Council (CNR), 80131 Napoli, Italy.
  • Caporale A; Institute of Crystallography (IC), National Research Council (CNR), Strada Statale 14 km 163.5, Basovizza, 34149 Triese, Italy.
  • Ruvo M; Institute of Biostructures and Bioimaging (IBB), National Research Council (CNR), 80131 Napoli, Italy.
  • Doti N; Institute of Biostructures and Bioimaging (IBB), National Research Council (CNR), 80131 Napoli, Italy.
Int J Mol Sci ; 24(9)2023 Apr 25.
Article em En | MEDLINE | ID: mdl-37175549
ABSTRACT
Protein-protein interfaces play fundamental roles in the molecular mechanisms underlying pathophysiological pathways and are important targets for the design of compounds of therapeutic interest. However, the identification of binding sites on protein surfaces and the development of modulators of protein-protein interactions still represent a major challenge due to their highly dynamic and extensive interfacial areas. Over the years, multiple strategies including structural, computational, and combinatorial approaches have been developed to characterize PPI and to date, several successful examples of small molecules, antibodies, peptides, and aptamers able to modulate these interfaces have been determined. Notably, peptides are a particularly useful tool for inhibiting PPIs due to their exquisite potency, specificity, and selectivity. Here, after an overview of PPIs and of the commonly used approaches to identify and characterize them, we describe and evaluate the impact of chemical peptide libraries in medicinal chemistry with a special focus on the results achieved through recent applications of this methodology. Finally, we also discuss the role that this methodology can have in the framework of the opportunities, and challenges that the application of new predictive approaches based on artificial intelligence is generating in structural biology.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Inteligência Artificial / Biblioteca de Peptídeos Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Inteligência Artificial / Biblioteca de Peptídeos Idioma: En Ano de publicação: 2023 Tipo de documento: Article