Liquid Brain: Neuromorphic sensing and computing platform for high-throughput screening of antibody developability
Liquid Brain:用于抗体可开发性高通量筛选的神经形态传感和计算平台
基本信息
- 批准号:10040049
- 负责人:
- 金额:$ 44.55万
- 依托单位:
- 依托单位国家:英国
- 项目类别:Collaborative R&D
- 财政年份:2022
- 资助国家:英国
- 起止时间:2022 至 无数据
- 项目状态:未结题
- 来源:
- 关键词:
项目摘要
Drug development costs are rising and pharmaceutical R&D efficiency is falling, increasing costs for BioTech and Pharma companies, healthcare providers, and reducing affordability and accessibility for patients worldwide.90% of drug candidates fail during clinical-stage development. Poor developability accounts for one third of clinical-stage failures of biologics, costing approximately USD450M per drug developed. High-throughput screening technologies deployed in the critical hit-to-lead phase of drug discovery are used to evaluate thousands of potential drugs against the drug target. Yet, comprehensive assessment of key biophysical properties associated with drug developability remains severely restricted by resource and time constraints, including limited material availability, particularly for biologics.Apoha is a stealth-stage start-up (UK SME), founded in 2021 by Dr Shamit Shrivastava (inventor of Apoha's core platform technology; ex-postdoctoral researcher, University of Oxford) and Anshika Srivastava (ex-Executive Director/Vice President, Goldman Sachs). Our mission is to create a new paradigm for sensing and computing that is powerful and sustainable at scale, inspired by the physics of brain matter.We are developing a "liquid brain", a neuromorphic fluid-based technology that mimics neuron-like activity when it is exposed to a chemical. The fundamental science behind our innovation was highlighted by Scientific American in 2018 as a "Revolution in Science that could change everything".With Innovate UK support, we will apply our "liquid brain" platform technology to the challenge of poor antibody developability, by developing a neuromorphic sensing and computing platform for high-throughput screening of underlying biophysical properties. We will combine our proprietary and patented hardware with cutting-edge neuromorphic algorithms trained to rank antibodies based on their developability potential.Our innovation directly addresses a key barrier to global transformative research highlighted in the UK Innovation Strategy 2021, that of declining pharmaceutical R&D efficiency and the rising cost of drug development.
药物开发成本不断上升,药物研发效率不断下降,增加了生物技术和制药公司、医疗保健提供商的成本,降低了全球患者的可负担性和可获得性。生物制剂临床阶段失败的三分之一是可开发性差,每开发一种药物的成本约为4.5亿美元。在药物发现的关键阶段,高通量筛选技术被用于评估数千种针对药物靶标的潜在药物。然而,对与药物可开发性相关的关键生物物理特性的全面评估仍然受到资源和时间限制的严重限制,包括有限的材料可用性,特别是对于生物制剂。Apoha是一家隐形阶段的初创企业(英国SME),由Shamit Shrivastava博士于2021年创立。(Apoha核心平台技术的发明者;前博士后研究员,牛津大学)和Anshika Srivastava(前执行董事/副总裁,高盛)。我们的使命是在大脑物质物理学的启发下,为传感和计算创造一个强大而可持续的新范式。我们正在开发一种“液体大脑”,一种基于神经形态液体的技术,当它暴露在化学物质中时,它会模仿神经元的活动。在Innovate UK的支持下,我们将通过开发神经形态传感和计算平台,对潜在的生物物理特性进行高通量筛选,将我们的“液体大脑”平台技术应用于抗体可开发性差的挑战。我们将联合收割机与我们的专有和专利硬件相结合,结合经过训练的尖端神经形态算法,根据抗体的可开发性潜力对其进行排名。我们的创新直接解决了英国创新战略2021中强调的全球变革性研究的关键障碍,即药物研发效率下降和药物开发成本上升。
项目成果
期刊论文数量(0)
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其他文献
吉治仁志 他: "トランスジェニックマウスによるTIMP-1の線維化促進機序"最新医学. 55. 1781-1787 (2000)
Hitoshi Yoshiji 等:“转基因小鼠中 TIMP-1 的促纤维化机制”现代医学 55. 1781-1787 (2000)。
- DOI:
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LiDAR Implementations for Autonomous Vehicle Applications
- DOI:
- 发表时间:
2021 - 期刊:
- 影响因子:0
- 作者:
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吉治仁志 他: "イラスト医学&サイエンスシリーズ血管の分子医学"羊土社(渋谷正史編). 125 (2000)
Hitoshi Yoshiji 等人:“血管医学与科学系列分子医学图解”Yodosha(涉谷正志编辑)125(2000)。
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Effect of manidipine hydrochloride,a calcium antagonist,on isoproterenol-induced left ventricular hypertrophy: "Yoshiyama,M.,Takeuchi,K.,Kim,S.,Hanatani,A.,Omura,T.,Toda,I.,Akioka,K.,Teragaki,M.,Iwao,H.and Yoshikawa,J." Jpn Circ J. 62(1). 47-52 (1998)
钙拮抗剂盐酸马尼地平对异丙肾上腺素引起的左心室肥厚的影响:“Yoshiyama,M.,Takeuchi,K.,Kim,S.,Hanatani,A.,Omura,T.,Toda,I.,Akioka,
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