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Validation of De Novo Peptide Sequences with Bottom-Up Tag Convolution
| Content Provider | MDPI |
|---|---|
| Author | Vyatkina, Kira |
| Copyright Year | 2021 |
| Description | De novo sequencing is indispensable for the analysis of proteins from organisms with unknown genomes, novel splice variants, and antibodies. However, despite a variety of methods developed to this end, distinguishing between the correct interpretation of a mass spectrum and a number of incorrect alternatives often remains a challenge. Tag convolution is computed for a set of peptide sequence tags of a fixed length k generated from the input tandem mass spectra and can be viewed as a generalization of the well-known spectral convolution. We demonstrate its utility for validating de novo peptide sequences by using a set of those generated by the algorithm PepNovo+ from high-resolution bottom-up data sets for carbonic anhydrase 2 and the Fab region of alemtuzumab and indicate its further potential applications. |
| Starting Page | 1 |
| e-ISSN | 22277382 |
| DOI | 10.3390/proteomes10010001 |
| Journal | Proteomes |
| Issue Number | 1 |
| Volume Number | 10 |
| Language | English |
| Publisher | MDPI |
| Publisher Date | 2021-12-29 |
| Access Restriction | Open |
| Subject Keyword | Proteomes Tandem Mass Spectrometry De Novo Sequencing Tag Convolution |
| Content Type | Text |
| Resource Type | Article |
