Real Time Proteomic Analysis of Peptides and Proteins

描述(申请人提供)：Hylitech，Inc.提出了一种解决方案，以克服蛋白质组学中的一个主要计算瓶颈-通过建立一个专用的低成本超级计算机系统，从质谱学数据中执行实时肽和蛋白质识别。目前的多肽和蛋白质鉴定需要计算处理，这比质量光谱数据的获取滞后了数小时甚至数天。利用现场可编程门阵列平台，可以在数据采集进行的同时，实时评估实验数据与可能的多肽或修饰多肽之间的匹配。多肽和修饰多肽的快速鉴定将允许更有效地利用有限的质谱仪时间，并使更深入的研究能够发现蛋白质组中的低丰度调节物种。这种时间和成本效益高的蛋白质组数据分析方法将加快研究，改进疾病标记物的发现，促进更有效的诊断学的发展，并促进个性化医学的创造。实时分析将通过设计一个肽处理单元(PPU)来完成，该单元将在各个现场可编程门阵列中复制。系统级设计将达到提供实时解决方案所需的超级计算性能。这将为生物医学带来蛋白质组数据分析的重大加速，同时与传统的基于多微处理器的系统相比，提供显著的成本节约。

DESCRIPTION (provided by applicant): Hylitech, Inc. proposes a solution to overcome a major computational bottleneck in proteomics-by building a dedicated low-cost supercomputer system that performs real time peptide and protein identification from mass spectral data. Current peptide and protein identification requires computational processing that lags mass spectral data acquisition by hours or even days. The utilization of an FPGA platform will allow matches between experimental data and possible peptides or modified peptides to be evaluated in real time, while data acquisition is in progress. Fast identification of peptides and modified peptides will allow more efficient use of scarce mass spectrometer time and enable a much deeper investigation to discover low abundance regulatory species in the proteome. This time and cost effective approach to proteomic data analysis will speed research, improve discovery of disease markers, facilitate development of more effective diagnostics, and foster the creation of personalized medicine. Real time analysis will be accomplished by designing a peptide processing unit (PPU) that will be replicated across FPGAs. A system level design will achieve the supercomputing performance required to provide a real-time solution. This will bring major acceleration of proteomic data analysis to biomedicine, while providing significant cost savings compared to conventional multi-microprocessor based systems.