Parameter identification with optimal experimental design for engineering biology
工程生物学优化实验设计的参数识别
基本信息
- 批准号:EP/Y00342X/1
- 负责人:
- 金额:$ 20.86万
- 依托单位:
- 依托单位国家:英国
- 项目类别:Research Grant
- 财政年份:2024
- 资助国家:英国
- 起止时间:2024 至 无数据
- 项目状态:未结题
- 来源:
- 关键词:
项目摘要
Engineering biology has the potential to generate new disruptive products and to revolutionise our approach to many societal problems. However, at present, the engineering of these products is complicated by interactions between the host microbe's (chassis') natural biology and the engineered genetic system or metabolic pathway. This results in poor performance which can range from differences in expected behaviour, poor host growth or even complete failure of the engineered function. Recently, mathematical models and computer aided design tools have been produced which enable these interactions to be accounted for during the project design phase. These approaches are termed "host-aware" and enable synthetic biologists and biotechnologists to produce "host-friendly" designs. To date, these approaches have only been developed for the academic lab workhorse E. coli which limits their application in industry who use a variety of microbes due to other beneficial biological properties. Extending these frameworks to other industrially relevant organisms is challenging due to the lack of available data and the lack of experimental protocols which enable efficient data generation. This pilot project establishes an interdisciplinary global research team to solve this problem. First the team will carry out a rigorous analysis of the host-aware design framework which is composed of complex nonlinear ordinary differential equation models and establish new accurate and efficient tools to enable robust parametrisation of complex microbial growth models from sparse data. Working closely with industrial partners, the team will then develop an optimal experimental design approach which enables scientists to determine what experiments need to be conducted to enable these host-aware design frameworks to be developed for industrially relevant microbes. This project will enable the future generation of new industrially relevant "host-aware" computer aided design tools needed for fast and efficient engineering of microbial cells factories.
工程生物学有可能产生新的颠覆性产品,并彻底改变我们解决许多社会问题的方法。然而,目前这些产品的工程设计由于宿主微生物(底盘)的自然生物学和工程遗传系统或代谢途径之间的相互作用而变得复杂。这会导致较差的性能,包括预期行为的差异、宿主生长不良甚至工程功能的完全故障。最近,已经产生了数学模型和计算机辅助设计工具,使这些相互作用能够在项目设计阶段得到考虑。这些方法被称为“宿主感知”,使合成生物学家和生物技术专家能够产生“宿主友好”的设计。到目前为止,这些方法只针对学术实验室的主力大肠杆菌开发,这限制了它们在工业中的应用,因为工业上使用了各种微生物,因为其他有益的生物学特性。将这些框架推广到其他与工业有关的生物体是具有挑战性的,因为缺乏可用的数据,也缺乏能够有效产生数据的实验协议。该试点项目建立了一个跨学科的全球研究团队来解决这一问题。首先,该团队将对由复杂的非线性常微分方程模型组成的宿主感知设计框架进行严格分析,并建立新的准确和高效的工具,以实现从稀疏数据中稳健地实现复杂微生物生长模型的参数化。然后,该团队将与工业合作伙伴密切合作,开发一种最佳的实验设计方法,使科学家能够确定需要进行哪些实验,以便为与工业相关的微生物开发这些宿主感知的设计框架。该项目将使未来一代与工业相关的新的“宿主感知”计算机辅助设计工具能够快速高效地设计微生物细胞工厂。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
数据更新时间:{{ journalArticles.updateTime }}
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
数据更新时间:{{ journalArticles.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ monograph.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ sciAawards.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ conferencePapers.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ patent.updateTime }}
Alexander Darlington其他文献
Alexander Darlington的其他文献
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
{{ truncateString('Alexander Darlington', 18)}}的其他基金
Optimal cell factories for membrane protein production
用于膜蛋白生产的最佳细胞工厂
- 批准号:
BB/Y007603/1 - 财政年份:2024
- 资助金额:
$ 20.86万 - 项目类别:
Research Grant
相似国自然基金
脊髓新鉴定SNAPR神经元相关环路介导SCS电刺激抑制恶性瘙痒
- 批准号:82371478
- 批准年份:2023
- 资助金额:48.00 万元
- 项目类别:面上项目
面向人工智能生成内容的风险识别与治理策略研究
- 批准号:72304290
- 批准年份:2023
- 资助金额:30.00 万元
- 项目类别:青年科学基金项目
Identification and quantification of primary phytoplankton functional types in the global oceans from hyperspectral ocean color remote sensing
- 批准号:
- 批准年份:2022
- 资助金额:160 万元
- 项目类别:
白桦雄花早期发育转录组分析及重要基因功能鉴定
- 批准号:31100449
- 批准年份:2011
- 资助金额:23.0 万元
- 项目类别:青年科学基金项目
言语提取方案对人工耳蜗植入者声调与音乐识别的影响
- 批准号:81070796
- 批准年份:2010
- 资助金额:32.0 万元
- 项目类别:面上项目
用基因确认标签技术(GIS)筛选东方蜜蜂的抗螨基因
- 批准号:31072095
- 批准年份:2010
- 资助金额:34.0 万元
- 项目类别:面上项目
链霉菌702所产抗真菌物质的化学结构的鉴定
- 批准号:30960011
- 批准年份:2009
- 资助金额:23.0 万元
- 项目类别:地区科学基金项目
相似海外基金
A Study on Exact Optimal Solutions for Subgroup Identification Based on Discrete Structure Processing
基于离散结构处理的子群辨识精确最优解研究
- 批准号:
23K11023 - 财政年份:2023
- 资助金额:
$ 20.86万 - 项目类别:
Grant-in-Aid for Scientific Research (C)
Transforming Curiosity into Donation: Validating a Risk Prediction Index to Detect and Prevent Drop-Out in Potential Living Kidney Donors who are Racial/Ethnic Minorities
将好奇心转化为捐赠:验证风险预测指数,以检测和防止少数族裔潜在活体肾脏捐赠者的退出
- 批准号:
10730846 - 财政年份:2023
- 资助金额:
$ 20.86万 - 项目类别:
Using implantable microdevices for deep phenotyping of multiple drug responses in brain tumor patients
使用植入式微型设备对脑肿瘤患者的多种药物反应进行深度表型分析
- 批准号:
10732396 - 财政年份:2023
- 资助金额:
$ 20.86万 - 项目类别:
What Activates Type 2 diabetes in Children (WATCH)
是什么引发了儿童 2 型糖尿病(观看)
- 批准号:
10582468 - 财政年份:2023
- 资助金额:
$ 20.86万 - 项目类别:
An Inducible Swine Hepatocellular Carcinoma Platform for Enhanced Therapeutic Development
用于增强治疗开发的诱导猪肝细胞癌平台
- 批准号:
10758109 - 财政年份:2023
- 资助金额:
$ 20.86万 - 项目类别:
SARS-COV-2 Screening in Dialysis Facilities: Building an Optimal Strategy to Protect High Risk Populations
透析设施中的 SARS-COV-2 筛查:制定保护高危人群的最佳策略
- 批准号:
10447527 - 财政年份:2022
- 资助金额:
$ 20.86万 - 项目类别:
Deep learning Based Phenotyping and Treatment Optimization for Heart Failure with Preserved Ejection Fraction
基于深度学习的射血分数保留的心力衰竭表型分析和治疗优化
- 批准号:
10444412 - 财政年份:2022
- 资助金额:
$ 20.86万 - 项目类别:
Deciphering the genetic basis of differential antibiotic efficacy in Enterococcus faecalis endocarditis
破译抗生素对粪肠球菌心内膜炎疗效差异的遗传基础
- 批准号:
10597129 - 财政年份:2022
- 资助金额:
$ 20.86万 - 项目类别:
Neural Markers of Treatment Mechanisms and Prediction of Treatment Outcomes in Social Anxiety
社交焦虑治疗机制的神经标志物和治疗结果预测
- 批准号:
10685936 - 财政年份:2022
- 资助金额:
$ 20.86万 - 项目类别:
School based stepped care TrEatment for adolescent depression in Pakistan- a Sequential Multiple Assignment Randomized Trial (SMART-STEP)
巴基斯坦青少年抑郁症的学校阶梯护理治疗——序贯多重分配随机试验 (SMART-STEP)
- 批准号:
10526449 - 财政年份:2022
- 资助金额:
$ 20.86万 - 项目类别: