.png){kind=icon}
返回
Improved peptide charge state assignment
.png){kind=icon}
PRE
AI
DOI：10.1002/pmic.200300489.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
We present a new approach capable of assigning charge states to peptides based on both their intact mass spectrum and their fragmentation mass spectrum. More specifically, our approach aims at fully exploiting available information to improve correct charge assignment rate. This is achieved by using information provided by the fragmentation spectrum extensively. For low-resolution spectra, charge assignment based on fragmentation mass spectrum is better than charge assignment based on intact peptide signal only. We introduce two methods that allow to integrate information contributing to successful peptide charge state assignment. We demonstrate the performance of our algorithms on large ion trap data sets. The application of these algorithms to large-scale proteomics projects can save significant computation time and have a positive impact on identification false positive rates.
Keyword:
algorithm
bioinformatics
peptide
期刊
IF:
3.9
论文数:
7.6K
被引数:
1.1W
机构
暂无机构信息
引用论文
Empirical statistical model to estimate the accuracy of peptide identifications made by MS/MS and database search.png)
ANALYTICAL CHEMISTRY
ANALYTICAL CHEMISTRYIF6.7
PREAI
分享收藏Direct analysis and identification of proteins in mixtures by LC/MS/MS and database searching at the low-femtomole levelANALYTICAL CHEMISTRY
ANALYTICAL CHEMISTRYIF6.7
PREAI
分享收藏分享收藏Implementation and uses of automated de novo peptide sequencing by tandem mass spectrometryANALYTICAL CHEMISTRY
ANALYTICAL CHEMISTRYIF6.7
PREAI
分享收藏 没有更多内容
没有更多内容