Profound: An expert system for protein identification using mass spectrometric peptide mapping information
Profound: An expert system for protein identification using mass spectrometric peptide mapping information
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DOI：
10.1021/ac991363o
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发表时间：
2000-06-01
影响因子：
7.4
通讯作者：
Chait, BT
中科院分区：
文献类型：
--
作者：
Zhang, WZ;Chait, BT
我们描述了蛋白质搜索引擎“深刻”，该蛋白质搜索引擎使用贝叶斯算法使用质谱肽映射数据从蛋白质数据库中鉴定蛋白质。该算法通过考虑数据库中每种蛋白质的各个特性以及与肽映射实验相关的其他信息来对蛋白质进行排名。即使数据质量相对较低或样品由简单的蛋白质混合物组成时，该程序也始终识别正确的蛋白质。提供了蛋白质鉴定的例子。
We describe the protein search engine "ProFound", which employs a Bayesian algorithm to identify proteins from protein databases using mass spectrometric peptide mapping data. The algorithm ranks protein candidates by taking into account individual properties of each protein in the database as well as other information relevant to the peptide mapping experiment. The program consistently identifies the correct protein(s) even when the data quality is relatively low or when the sample consists of a simple mixture of proteins. Illustrative examples of protein identifications are provided.