A graph-based filtering method for top-down mass spectral identification.

ABSTRACT:

Background

Database search has been the main approach for proteoform identification by top-down tandem mass spectrometry. However, when the target proteoform that produced the spectrum contains post-translational modifications (PTMs) and/or mutations, it is quite time consuming to align a query spectrum against all protein sequences without any PTMs and mutations in a large database. Consequently, it is essential to develop efficient and sensitive filtering algorithms for speeding up database search.

Results

In this paper, we propose a spectrum graph matching (SGM) based protein sequence filtering method for top-down mass spectral identification. It uses the subspectra of a query spectrum to generate spectrum graphs and searches them against a protein database to report the

SUBMITTER: Yang R 

PROVIDER: S-EPMC6157290 | biostudies-literature | 2018 Sep

REPOSITORIES: biostudies-literature