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Structural landscapes of PPI interfaces.
Rodrigues, Carlos H M; Pires, Douglas E V; Blundell, Tom L; Ascher, David B.
Afiliación
  • Rodrigues CHM; Computational Biology and Clinical Informatics, Baker Heart and Diabetes Institute, Melbourne, Victoria.
  • Pires DEV; Systems and Computational Biology, Bio21 Institute, University of Melbourne, Melbourne, Victoria.
  • Blundell TL; School of Chemistry and Molecular Biosciences, Bio21 Institute, University of Queensland, Brisbane, Victoria.
  • Ascher DB; Computational Biology and Clinical Informatics, Baker Heart and Diabetes Institute, Melbourne, Victoria.
Brief Bioinform ; 23(4)2022 07 18.
Article en En | MEDLINE | ID: mdl-35656714
Proteins are capable of highly specific interactions and are responsible for a wide range of functions, making them attractive in the pursuit of new therapeutic options. Previous studies focusing on overall geometry of protein-protein interfaces, however, concluded that PPI interfaces were generally flat. More recently, this idea has been challenged by their structural and thermodynamic characterisation, suggesting the existence of concave binding sites that are closer in character to traditional small-molecule binding sites, rather than exhibiting complete flatness. Here, we present a large-scale analysis of binding geometry and physicochemical properties of all protein-protein interfaces available in the Protein Data Bank. In this review, we provide a comprehensive overview of the protein-protein interface landscape, including evidence that even for overall larger, more flat interfaces that utilize discontinuous interacting regions, small and potentially druggable pockets are utilized at binding sites.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Proteínas Idioma: En Revista: Brief Bioinform Asunto de la revista: BIOLOGIA / INFORMATICA MEDICA Año: 2022 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Proteínas Idioma: En Revista: Brief Bioinform Asunto de la revista: BIOLOGIA / INFORMATICA MEDICA Año: 2022 Tipo del documento: Article