DEVELOPMENT OF RAPID EFFECTIVE PROTEIN IDENTIFICATION ALGORITHMS: "PROFOUND"

快速有效的蛋白质识别算法的开发：“深刻”

• 批准号: 6307539
• 负责人: WENZHU ZHANG
• 金额: $ 0.82万
• 依托单位: ROCKEFELLER UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 1999
• 资助国家: 美国
• 起止时间: 1999-12-01 至 2000-11-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6307539
• 关键词: Mammalia; biomedical equipment development; biomedical resource; genetics; genome; human tissue; spectrometry; technology /technique

We have continued to refine a protein idenfication software routine called "ProFound", which makes use of information from mass spectrometric peptide maps to provide identificaton of proteins whose sequence is stored in one of the publicly accessible databases. This program, which was written by Wenzhu Zbang (a member of our Research Resource) is publicly available over the World Wide Web (http://chait-sgi.rockefeller.edu). The program is the only protein identification software currently available that uses robust probability criteria to rank the protein identification calls. In addition, it is the only software currently available that can identify mixtures of proteins using objective criteria. ProFound is being widely used by scientists all over the world. A paper describing the software is currently under preparation.

我们继续完善蛋白质纯化软件 一个叫做“ProFound”的程序，它利用了大量的信息， 光谱肽图谱提供蛋白质的鉴定， 序列存储在可公开访问的数据库之一中。 这 该程序是由我们的研究小组成员文竹邦编写的， 资源）可在万维网上公开获得 (http：chait-sgi.rockefeller.edu）的示例。该程序是唯一的蛋白质 目前可用的识别软件， 概率标准来对蛋白质鉴定调用进行排序。 在 此外，它是目前唯一可用的软件，可以 使用客观标准鉴定蛋白质的混合物。 难以测量的是 被世界各地的科学家广泛使用。 一篇论文 目前正在编写该软件的说明。