Thokkadam Alina, Do Truc, Ran Xinchun, Brynildsen Mark P, Yang Zhongyue J, Link A James
Department of Chemical and Biological Engineering, Princeton University, Princeton, New Jersey 08544, United States.
Department of Chemistry, Vanderbilt University, Nashville, Tennessee 37235, United States.
ACS Cent Sci. 2023 Mar 1;9(3):540-550. doi: 10.1021/acscentsci.2c01487. eCollection 2023 Mar 22.
The complex (Bcc) is a group of bacteria including opportunistic human pathogens. Immunocompromised individuals and cystic fibrosis patients are especially vulnerable to serious infections by these bacteria, motivating the search for compounds with antimicrobial activity against the Bcc. Ubonodin is a lasso peptide with promising activity against Bcc species, working by inhibiting RNA polymerase in susceptible bacteria. We constructed a library of over 90 000 ubonodin variants with 2 amino acid substitutions and used a high-throughput screen and next-generation sequencing to examine the fitness of the entire library, generating the most comprehensive data set on lasso peptide activity so far. This screen revealed information regarding the structure-activity relationship of ubonodin over a large sequence space. Remarkably, the screen identified one variant with not only improved activity compared to wild-type ubonodin but also a submicromolar minimum inhibitory concentration (MIC) against a clinical isolate of the Bcc member . Ubonodin and several of the variants identified in this study had lower MICs against certain Bcc strains than those of many clinically approved antibiotics. Finally, the large library size enabled us to develop DeepLasso, a deep learning model that can predict the RNAP inhibitory activity of an ubonodin variant.
嗜麦芽窄食单胞菌复合体(Bcc)是一组包含人类机会致病菌的细菌。免疫功能低下的个体和囊性纤维化患者尤其容易受到这些细菌的严重感染,这促使人们寻找对Bcc具有抗菌活性的化合物。乌博诺定是一种套索肽,对Bcc菌种具有有前景的活性,其作用机制是抑制易感细菌中的RNA聚合酶。我们构建了一个包含90000多个具有两个氨基酸取代的乌博诺定变体的文库,并使用高通量筛选和下一代测序来检测整个文库的适应性,生成了迄今为止关于套索肽活性最全面的数据集。该筛选揭示了在大序列空间上乌博诺定的构效关系信息。值得注意的是,该筛选鉴定出一个变体,其不仅与野生型乌博诺定相比活性有所提高,而且对Bcc成员的临床分离株具有亚微摩尔级的最低抑菌浓度(MIC)。乌博诺定以及本研究中鉴定出的几个变体对某些Bcc菌株的MIC低于许多临床批准的抗生素。最后,文库规模大使我们能够开发出DeepLasso,这是一种可以预测乌博诺定变体的RNA聚合酶抑制活性的深度学习模型。