In Silico Design and Optimisation of Novel Host-Directed Therapies

新型宿主导向疗法的计算机设计和优化

• 批准号: 2004502
• 金额: --
• 依托单位: Imperial College London
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2017
• 资助国家: 英国
• 起止时间: 2017 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2004502
• 关键词: Silico; Design; Optimisation; Novel; Host

Pulmonary fungal infections caused by the mould Aspergillus fumigatus range from allergicdisease to invasive infections with high associated mortality. The resultant disease phenotype islargely due to the immune response mounted by the host in response to infection. Treatment ofthese infections is challenging due to the limited antifungal options available, and increasing A.fumigatus antifungal drug resistance. This research project will focus on the designing andoptimising immunotherapeutic regimens. The action of these immunotherapies will be exertedthrough modulation of the host's immune system. Furthermore, we will investigate the role offungal immunotherapies as adjuvants to antifungal drug regimens to devise optimum treatmentoptions and reduce mortality due to A. fumigatus infection

由霉菌烟曲霉引起的肺部真菌感染范围从变态反应性疾病到侵袭性感染，相关死亡率很高。由此产生的疾病表型很大程度上是由于宿主对感染的免疫反应。这些感染的治疗是具有挑战性的，由于有限的抗真菌药物的选择，并增加烟曲霉抗真菌药物的耐药性。该研究项目将集中于设计和优化免疫方案。这些免疫疗法的作用将通过调节宿主的免疫系统来发挥。此外，我们将研究真菌免疫疗法作为抗真菌药物治疗方案的辅助治疗的作用，以设计最佳治疗方案并降低A.烟曲霉感染