New Proteins for new threads
New Proteins for new threads
批准号:
10067460
负责人:
金额:
$8.88万
依托单位:
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
项目状态:
已结题
起止时间:
2023 至 --
中文摘要
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英文摘要
**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.
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国内基金
海外基金
化学感受蛋白(chemosensory proteins,CSPs)在家蚕化学识别及发育过程中的功能研究
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批准号:31201754
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项目类别:青年科学基金项目
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资助金额:24.0万元
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批准年份:2012
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负责人:乔惠丽
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依托单位:
骨形态发生蛋白(Bone Morphogenetic Proteins,BMP)信号在脊髓损伤中枢神经性疼痛中的作用
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批准号:81070994
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项目类别:面上项目
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资助金额:32.0万元
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批准年份:2010
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负责人:王亚平
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依托单位: