Encoded Sortable Particle Combinatorial Synthesizer

编码可排序粒子组合合成器

• 批准号: 6883498
• 负责人: DAVID M ROTHWARF
• 金额: $ 9.37万
• 依托单位: ARRAYOMICS, INC.
• 依托单位国家: 美国
• 财政年份: 2005
• 资助国家: 美国
• 起止时间: 2005-02-07 至 2007-01-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6883498
• 关键词: biomedical equipment development; biotechnology; chemical kinetics; combinatorial chemistry; drug discovery /isolation; fluorescent in situ hybridization; genetic library; magnetic field; nucleic acid sequence; oligonucleotides; particle

DESCRIPTION (provided by applicant): There is a tremendous unmet need for cost-effective methods of synthesizing and screening large libraries of synthetic compounds. This project will develop a novel 'liquid array' directed synthesis platform, based on Encoded Sortable Particle (ESP) technology, to generate large, high quality libraries of pre-defined content. ESPs are optically-encoded microfabricated particles that can be manipulated using magnetic force. The overall aim of this project is to use ESP technology to develop a highly efficient combinatorial synthesizer that uses a directed sort strategy. Because our combinatorial synthesizer will allow the directed synthesis of any set of compounds, it will create libraries of defined content that can be screened more rapidly and at lower cost than comparable random libraries, while displaying compounds of higher purity, providing substantially more information, and delivering data of higher quality. The ESP-based libraries will provide a broad platform for many different kinds of assays. ESP-based libraries have the potential to be used in basic biomedical research, as well as high-throughput discovery and clinical diagnosis and prognosis of cancer, and a wide variety of other diseases.

描述（由申请人提供）：对于合成和筛选大型合成化合物库的具有成本效益的方法存在巨大的未满足的需求。该项目将开发一种新颖的“液体阵列”定向合成平台，基于编码可排序粒子（ESP）技术，以生成大型、高质量的预定义内容库。 ESP 是光学编码的微加工颗粒，可以使用磁力进行操纵。该项目的总体目标是利用 ESP 技术开发一种使用定向排序策略的高效组合合成器。因为我们的组合合成器将允许定向合成任何一组化合物，所以它将创建具有确定内容的库，与类似的随机库相比，可以更快地以更低的成本进行筛选，同时显示更高纯度的化合物，提供更多的信息，并提供更高质量的数据。基于 ESP 的库将为许多不同类型的检测提供广泛的平台。基于 ESP 的文库有潜力用于基础生物医学研究，以及癌症和各种其他疾病的高通量发现、临床诊断和预后。