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The crystal structure of CbpD clarifies substrate-specificity motifs in chitin-active lytic polysaccharide monooxygenases.
Dade, Christopher M; Douzi, Badreddine; Cambillau, Christian; Ball, Genevieve; Voulhoux, Romé; Forest, Katrina T.
Afiliación
  • Dade CM; Department of Chemistry, University of Wisconsin-Madison, Madison, Wisconsin, USA.
  • Douzi B; Aix-Marseille University, CNRS, IMM, LCB, Marseille, France.
  • Cambillau C; Aix-Marseille University, CNRS, AFMB, Marseille, France.
  • Ball G; Aix-Marseille University, CNRS, IMM, LCB, Marseille, France.
  • Voulhoux R; Aix-Marseille University, CNRS, IMM, LCB, Marseille, France.
  • Forest KT; Department of Chemistry, University of Wisconsin-Madison, Madison, Wisconsin, USA.
Acta Crystallogr D Struct Biol ; 78(Pt 8): 1064-1078, 2022 Aug 01.
Article en En | MEDLINE | ID: mdl-35916229
ABSTRACT
Pseudomonas aeruginosa secretes diverse proteins via its type 2 secretion system, including a 39 kDa chitin-binding protein, CbpD. CbpD has recently been shown to be a lytic polysaccharide monooxygenase active on chitin and to contribute substantially to virulence. To date, no structure of this virulence factor has been reported. Its first two domains are homologous to those found in the crystal structure of Vibrio cholerae GbpA, while the third domain is homologous to the NMR structure of the CBM73 domain of Cellvibrio japonicus CjLPMO10A. Here, the 3.0 Šresolution crystal structure of CbpD solved by molecular replacement is reported, which required ab initio models of each CbpD domain generated by the artificial intelligence deep-learning structure-prediction algorithm RoseTTAFold. The structure of CbpD confirms some previously reported substrate-specificity motifs among LPMOAA10s, while challenging the predictive power of others. Additionally, the structure of CbpD shows that post-translational modifications occur on the chitin-binding surface. Moreover, the structure raises interesting possibilities about how type 2 secretion-system substrates may interact with the secretion machinery and demonstrates the utility of new artificial intelligence protein structure-prediction algorithms in making challenging structural targets tractable.
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Quitina / Oxigenasas de Función Mixta Tipo de estudio: Prognostic_studies Idioma: En Revista: Acta Crystallogr D Struct Biol Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Quitina / Oxigenasas de Función Mixta Tipo de estudio: Prognostic_studies Idioma: En Revista: Acta Crystallogr D Struct Biol Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos