Mann M, Højrup P, Roepstorff P
Department of Molecular Biology, Odense University, Denmark.
Biol Mass Spectrom. 1993 Jun;22(6):338-45. doi: 10.1002/bms.1200220605.
During the last decade new ionization techniques have made it possible to measure the molecular weight of many intact proteins by mass spectrometry, and they have made it much easier to obtain a mass spectrometric peptide map of a protein. At the same time advances in protein and DNA sequencing technology are resulting in an exponential increase in the number of sequences deposited in databases. Here we investigate the possibility to use mass spectrometric data to identify proteins in databases. Searching a database by total molecular weight is found to be an easy and sometimes sufficient approach. For more specificity and for error tolerance in both the mass spectrometric data and the database information we search by partial mass spectrometric peptide map of the protein. In general, just four to six proteolytic peptides measured with a mass accuracy between 0.1 and 0.01% allow a useful search of databases such as the Protein Identification Resource (PIR). As the size of DNA and protein sequence databases grows, protein identification by partial mass spectrometric peptide maps should become increasingly powerful and may become a general method to identify and characterize proteins.
在过去十年中，新的电离技术使通过质谱法测量许多完整蛋白质的分子量成为可能，并且使获得蛋白质的质谱肽图变得容易得多。与此同时，蛋白质和DNA测序技术的进步导致数据库中存储的序列数量呈指数增长。在这里，我们研究了使用质谱数据在数据库中鉴定蛋白质的可能性。通过总分子量搜索数据库是一种简单且有时足够的方法。为了提高特异性以及在质谱数据和数据库信息中实现容错能力，我们通过蛋白质的部分质谱肽图进行搜索。一般来说，只需测量四到六个蛋白水解肽，质量准确度在0.1%到0.01%之间，就可以对诸如蛋白质鉴定资源（PIR）等数据库进行有效搜索。随着DNA和蛋白质序列数据库规模的扩大，通过部分质谱肽图进行蛋白质鉴定将变得越来越强大，并可能成为鉴定和表征蛋白质的通用方法。
