Moynie Lucille, Schnell Robert, McMahon Stephen A, Sandalova Tatyana, Boulkerou Wassila Abdelli, Schmidberger Jason W, Alphey Magnus, Cukier Cyprian, Duthie Fraser, Kopec Jolanta, Liu Huanting, Jacewicz Agata, Hunter William N, Naismith James H, Schneider Gunter
Biomedical Sciences Research Complex, University of St Andrews, St Andrews KY16 9ST, Scotland.
Acta Crystallogr Sect F Struct Biol Cryst Commun. 2013 Jan 1;69(Pt 1):25-34. doi: 10.1107/S1744309112044739. Epub 2012 Dec 25.
Bacterial infections are increasingly difficult to treat owing to the spread of antibiotic resistance. A major concern is Gram-negative bacteria, for which the discovery of new antimicrobial drugs has been particularly scarce. In an effort to accelerate early steps in drug discovery, the EU-funded AEROPATH project aims to identify novel targets in the opportunistic pathogen Pseudomonas aeruginosa by applying a multidisciplinary approach encompassing target validation, structural characterization, assay development and hit identification from small-molecule libraries. Here, the strategies used for target selection are described and progress in protein production and structure analysis is reported. Of the 102 selected targets, 84 could be produced in soluble form and the de novo structures of 39 proteins have been determined. The crystal structures of eight of these targets, ranging from hypothetical unknown proteins to metabolic enzymes from different functional classes (PA1645, PA1648, PA2169, PA3770, PA4098, PA4485, PA4992 and PA5259), are reported here. The structural information is expected to provide a firm basis for the improvement of hit compounds identified from fragment-based and high-throughput screening campaigns.
由于抗生素耐药性的传播,细菌感染越来越难以治疗。一个主要问题是革兰氏阴性菌,针对这类细菌的新型抗菌药物的发现尤为稀少。为了加快药物发现的早期步骤,由欧盟资助的AEROPATH项目旨在通过应用多学科方法,包括靶点验证、结构表征、检测方法开发以及从小分子文库中鉴定活性化合物,来识别机会致病菌铜绿假单胞菌中的新靶点。在此,描述了用于靶点选择的策略,并报告了蛋白质生产和结构分析方面的进展。在选定的102个靶点中,84个能够以可溶形式产生,并且已经确定了39种蛋白质的全新结构。本文报道了其中8个靶点的晶体结构,这些靶点涵盖了从假设的未知蛋白质到不同功能类别的代谢酶(PA1645、PA1648、PA2169、PA3770、PA4098、PA4485、PA4992和PA5259)。预计这些结构信息将为改进从基于片段的筛选和高通量筛选活动中鉴定出的活性化合物提供坚实的基础。