PROTEOME DATABASE FOR PATHOGENIC FUNGI CANDIDA ALBICANS

本项目旨在建立病原真菌蛋白质组数据库。 白假丝酵母菌作为配对数据库已经成功 开发和商业化酵母蛋白质数据库(YPD(TM))，用于 模式生物酿酒酵母。该数据库将结合 精选蛋白质组数据将蛋白质表达谱(二维凝胶 电泳数据)，并将与基于YDP(TM)的广泛链接 关于序列同调。白色念珠菌蛋白质组数据库(CalPD(TM)) 将由一系列蛋白质报告组成，每个报告都是一个网页 一种蛋白质的报告属性和自由文本注释。这个 参考文献的方法和对所有材料的回顾 编辑器将类似于用于开发的方法 YPD(TM)。该项目还将使用双向凝胶电泳法， 一种对功能基因组分析重新重要的技术，以 为白色念珠菌开发一张主要蛋白质图谱 蛋白质。经过管理的数据库和白色念珠菌蛋白质图谱将是 在第二阶段用于开发完整的蛋白质表达谱数据库 旨在满足制药行业的需求，该行业 从事广泛的研究，寻找新的药物靶点，对 人类病原体，白色念珠菌。 建议的商业应用： 随着整个基因组序列变得可用，有可能 描述蛋白质组，或由基因组编码的一组蛋白质。这 研究将有助于开发一个重要的蛋白质组数据库 病原真菌白色念珠菌。该数据库将包含 从文献中积累关于白色念珠菌蛋白的知识 白念珠菌的整理和蛋白质表达谱数据 双向电泳平行技术提供的蛋白质组。这个 数据库将链接到商业上成功的酵母蛋白数据库 在工业中需要蛋白质组数据来扩展基因组数据 抗真菌研究和比较基因组学，以及直接 用酵母同系物注释人类蛋白质。

This project seeks to build a proteome database for the pathogenic fungi Candida albicans as a companion database to the already successfully developed and commercialized Yeast Protein Database (YPD(TM)) for the model organism Saccharomyces cerevisiae. This database will combine curated proteome data will protein expression profiles (2D gel electrophoresis data), and it will have extensive links to YDP(TM) based on sequence homologies. The Candida albicans proteome database (CalPD(TM)) will consist of a series of Protein Reports, each of which is a Web page reporting properties and free-text annotations for one protein. The methods of curation from the literature and review of all material by editors will be similar to the methods used for the development of YPD(TM). This project will also use two-dimensional gel electrophoresis, a technique of renewed importance for functional genome analysis, to develop a master protein map for C. albicans with identification of major proteins. The curated database and the C. albicans protein map will be used in Phase II to develop a full protein expression profile database designed to serve the needs of the pharmaceutical industry which is engaged in extensive research to find new drug targets for the important human pathogen, Candida albicans. PROPOSED COMMERCIAL APPLICATION: With entire genome sequences becoming available, it becomes possible to describe the proteome, or the set of proteins coded by the genome. This research will help to develop a proteome database for the important pathogenic fungi Candida albicans. The database will contain the accumulated knowledge for the C. albicans proteins from literature curation, and protein expression profiling data for the C. albicans proteome provided by the parallel technique of 2D electrophoresis. The database will link to the commercially successful Yeast Protein Database (YPD"). Proteome data is in demand in industry to extend genomic data for antifungal research and for comparative genomics, and for direct annotation of human proteins with yeast homologues.