New Proteins for new threads

新线程的新蛋白质

• 批准号: 10067460
• 金额: $ 8.88万
• 依托单位: IMPERIAL COLLEGE LONDON
• 依托单位国家: 英国
• 项目类别: Collaborative R&D
• 财政年份: 2023
• 资助国家: 英国
• 起止时间: 2023 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=10067460
• 关键词: New; Proteins; new; threads

**Dr James Murray proposes an innovative approach to cloth production using deep learning and machine-learning-guided technology, which has the potential to fast-track the textile industry's transition to sustainability.**The fashion industry is among the **top 3 industries causing severe environmental problems**, contributing to 10% of carbon emissions globally (more than the total carbon footprint of the UK, France, and Germany combined). The majority comes from textile material production, as it relies heavily on livestock and petroleum-based materials, which are associated with CO2 emissions during manufacturing, as well as water and microplastic pollution. It's estimated that without drastic changes, the fashion industry will account for **26% of the global carbon footprint by 2050\.**This project addresses the need for sustainable production of textile fibres head-on. As such, Dr Murray and collaborators will develop a novel protein that can be spun into fibre and characterise the fibre to provide insights to guide commercialisation efforts. Compared to animal-derived fabrics (which have heavy carbon footprints and use a lot of fresh water) and synthetic petroleum-based fabrics (that don't biodegrade), this novel biomaterial will be more sustainable.Two aspects make this novel approach unique:* first, the proteins will be designed _de novo_ using advanced deep-learning methods* second, machine learning will guide microorganism strain development for protein production using precision fermentation (PF) (multiplying microbes to create specific products). PF is the only approach that allows the generation of novel proteins at scale. This technology is cruelty-free since it doesn't require the use of animals, and its carbon footprint is low.Dr Murray will apply his expertise in developing proteins to the design of a novel protein with desirable features, which will be used to create durable fibres suitable for producing soft, breathable fabrics. Through collaborating with UK-based biotech company Eden Bio, he will enable the selection of high-yielding microorganism strains to meet the demands of mass production in the fashion industry using ML technology.In summary, the present project offers an innovation capable of significantly enhancing the sustainability of one of the biggest industries in the UK.

**詹姆斯·穆雷（James Murray）博士使用深度学习和机器学习指导的技术提出了一种创新的布料生产方法，该方法有可能快速跟踪纺织行业向可持续性的过渡。大多数来自纺织品的生产，因为它在很大程度上依赖于牲畜和石油基材料，这些材料与制造过程中的二氧化碳排放相关，以及水和微塑料污染。据估计，如果没有急剧变化，时装业将占全球碳足迹的26％，到2050 \。因此，Murray博士和合作者将开发一种新型的蛋白质，可以旋转成纤维并将纤维进行特征以提供见解以指导商业化工作。与动物衍生的织物（具有重碳足迹并使用大量淡水）和基于合成石油的织物（没有生物降解）相比，这种新颖的生物材料将更具可持续性。两个方面使这种新颖的方法具有独特性。发酵（PF）（将微生物乘以创建特定产品）。 PF是唯一允许大规模生成新型蛋白质的方法。这项技术是无残酷的，因为它不需要使用动物，并且其碳足迹很低。DRMurray将其专业知识应用于开发具有理想特征的新型蛋白质的设计，该蛋白质将用于创建适合生产柔软透气织物的耐用纤维。通过与英国生物技术公司Eden Bio的合作，他将启用高产的微生物菌株的选择，以使用ML Technology来满足时尚行业中大众生产的需求。总而言之，本项目提供了一项能够显着增强英国最大行业之一的可持续性的创新。