Pseudomonas aeruginosa secretes diverse proteins via its Type 2 Secretion System, including a 39 KDa Chitin-Binding Protein, CbpD. CbpD was recently 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 Cellvibrio japonicus CjLPMO10A CBM73 domain. We report the 3.0 Å resolution crystal structure of CbpD solved by molecular replacement, 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 previously postulated chitin-specific motifs in the AA10 domain while challenging the deterministic effects of other postulated substrate specificity motifs. 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.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.