Fox Daniel R, Asadollahi Kazem, Samuels Imogen, Spicer Bradley A, Kropp Ashleigh, Lupton Christopher J, Lim Kevin, Wang Chunxiao, Venugopal Hari, Dramicanin Marija, Knott Gavin J, Grinter Rhys
Department of Microbiology, Biomedicine Discovery Institute, Monash University, Clayton, Australia.
Centre for Electron Microscopy of Membrane Proteins, Monash Institute of Pharmaceutical Sciences, Parkville, Victoria, Australia.
Nat Commun. 2025 Jul 9;16(1):6066. doi: 10.1038/s41467-025-60612-9.
Iron is an essential nutrient for most bacteria and is often growth-limiting during infection, due to the host sequestering free iron as part of the innate immune response. To obtain the iron required for growth, many bacterial pathogens encode transporters capable of extracting the iron-containing cofactor heme directly from host proteins. Pathogenic E. coli and Shigella spp. produce the outer membrane transporter ChuA, which binds host hemoglobin and extracts its heme cofactor, before importing heme into the cell. Heme extraction by ChuA is a dynamic process, with the transporter capable of rapidly extracting heme from hemoglobin in the absence of an external energy source, without forming a stable ChuA-hemoglobin complex. In this work, we utilise a combination of structural modelling, Cryo-EM, X-ray crystallography, mutagenesis, and phenotypic analysis to understand the mechanistic detail of this process. Based on this understanding we utilise artificial intelligence-based protein design to create binders capable of inhibiting E. coli growth by blocking hemoglobin binding to ChuA. By screening a limited number of these designs, we identify several binders that inhibit E. coli growth at low nanomolar concentrations, without experimental optimisation. We determine the structure of a subset of these binders, alone and in complex with ChuA, demonstrating that they closely match the computational design. This work demonstrates the utility of de novo-designed proteins for inhibiting bacterial nutrient uptake and uses a workflow that could be applied to integral membrane proteins in other organisms.
铁是大多数细菌必需的营养素,在感染过程中通常会限制生长,这是因为宿主会将游离铁作为先天性免疫反应的一部分进行隔离。为了获取生长所需的铁,许多细菌病原体编码能够直接从宿主蛋白中提取含铁辅因子血红素的转运蛋白。致病性大肠杆菌和志贺氏菌属产生外膜转运蛋白ChuA,它在将血红素导入细胞之前,先结合宿主血红蛋白并提取其血红素辅因子。ChuA进行的血红素提取是一个动态过程,该转运蛋白能够在没有外部能量来源的情况下迅速从血红蛋白中提取血红素,而不会形成稳定的ChuA-血红蛋白复合物。在这项工作中,我们结合使用结构建模、冷冻电镜、X射线晶体学、诱变和表型分析来了解这一过程的机制细节。基于这一认识,我们利用基于人工智能的蛋白质设计来创建能够通过阻断血红蛋白与ChuA的结合来抑制大肠杆菌生长的结合剂。通过筛选有限数量的这些设计,我们鉴定出几种在低纳摩尔浓度下就能抑制大肠杆菌生长的结合剂,无需进行实验优化。我们确定了这些结合剂的一个子集单独以及与ChuA形成复合物时的结构,表明它们与计算设计非常匹配。这项工作证明了从头设计的蛋白质在抑制细菌营养摄取方面的效用,并使用了一种可应用于其他生物体中整合膜蛋白的工作流程。