首页 | 本学科首页   官方微博 | 高级检索  
   检索      


PeaksPTM: Mass spectrometry-based identification of peptides with unspecified modifications
Authors:Han Xi  He Lin  Xin Lei  Shan Baozhen  Ma Bin
Institution:David R. Cheriton School of Computer Science, University of Waterloo, Waterloo, Ontario, Canada.
Abstract:Tandem mass spectrometry (MS/MS) has been routinely used to identify peptides from a protein sequence database. To identify post-translationally modified peptides, most existing software requires the specification of a few possible modifications. However, such knowledge of possible modifications is not always available. In this paper, we describe a new algorithm for identifying modified peptides without requiring the user to specify the possible modifications; instead, all modifications from the Unimod database are considered. Meanwhile, several new techniques are employed to avoid the exponential growth of the search space, as well as to control the false discoveries due to this unrestricted search approach. Finally, a software tool, PeaksPTM, has been developed and already achieved a stronger performance than competitive tools for unrestricted identification of post-translational modifications.
Keywords:
本文献已被 PubMed 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号