Department of Chemistry, University of Wisconsin-Madison, Madison, Wisconsin, USA.
Aix-Marseille University, CNRS, IMM, LCB, Marseille, France.
Acta Crystallogr D Struct Biol. 2022 Aug 1;78(Pt 8):1064-1078. doi: 10.1107/S2059798322007033. Epub 2022 Jul 27.
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 Å resolution 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.
铜绿假单胞菌通过其 II 型分泌系统分泌多种蛋白质,包括一种 39 kDa 的几丁质结合蛋白 CbpD。最近的研究表明,CbpD 是一种裂解多糖单加氧酶,可作用于几丁质,并对毒力有很大贡献。迄今为止,尚未报道这种毒力因子的结构。它的前两个结构域与霍乱弧菌 GbpA 的晶体结构中发现的结构域同源,而第三个结构域与日本林可氏梭菌 CjLPMO10A 的 CBM73 结构域的 NMR 结构同源。本文报道了通过分子置换法解析的分辨率为 3.0Å 的 CbpD 晶体结构,这需要使用人工智能深度学习结构预测算法 RoseTTAFold 生成的每个 CbpD 结构域的从头模型。CbpD 的结构证实了 LPMOAA10 中一些先前报道的底物特异性基序,同时也对其他基序的预测能力提出了挑战。此外,CbpD 的结构表明,几丁质结合表面上会发生翻译后修饰。此外,该结构提出了一些有趣的可能性,即 II 型分泌系统底物可能与分泌机制相互作用,并展示了新的人工智能蛋白质结构预测算法在解决具有挑战性的结构靶标方面的实用性。