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De Novo Sequencing of Peptides from High-Resolution Bottom-Up Tandem Mass Spectra using Top-Down Intended Methods.
| Content Provider | Semantic Scholar |
|---|---|
| Author | Vyatkina, Kira Dekker, Lennard J. M. Duijn, Martijn M. Van Liu, Xiaowen Tolić, Nikola Luider, Theo M. Paša-Tolić, Ljiljana |
| Copyright Year | 2017 |
| Abstract | Despite high-resolution mass spectrometers are becoming accessible for more and more laboratories, tandem (MS/MS) mass spectra are still often collected at a low resolution. And even if acquired at a high resolution, software tools used for their processing do not tend to benefit from that in full, and an ability to specify a relative mass tolerance in this case often remains the only feature the respective algorithms take advantage of. We argue that a more efficient way to analyze high-resolution MS/MS spectra should be with methods more explicitly accounting for the precision level, and sustain this claim through demonstrating that a de novo sequencing framework originally developed for (high-resolution) top-down MS/MS data is perfectly suitable for processing high-resolution bottom-up datasets, even though a top-down like deconvolution performed as the first step will leave in many spectra at most a few peaks. |
| File Format | PDF HTM / HTML |
| DOI | 10.1002/pmic.201600321 |
| PubMed reference number | 29110399 |
| Journal | Medline |
| Volume Number | 17 |
| Issue Number | 23-24 |
| Alternate Webpage(s) | https://scholarworks.iupui.edu/bitstream/handle/1805/14873/Vyatkina_2017_DeNovo.pdf?isAllowed=y&sequence=1 |
| Alternate Webpage(s) | https://doi.org/10.1002/pmic.201600321 |
| Journal | Proteomics |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
