| Title: |
Spectral networks algorithms for de novo interpretation of tandem mass spectra [electronic resource] / Nuno Bandeira. |
| Author(s)/Name(s): |
Bandeira, Nuno. |
| Publisher: |
[Bethesda, Md. : National Institutes of Health, 2007] |
| Related Names: |
National Institutes of Health (U.S.) |
| Series: |
ProtIG seminar series |
| Language: |
eng |
| Electronic Links: |
http://videocast.nih.gov/launch.asp?14037 |
| MeSH Subjects: |
Sequence Analysis, Protein |
|
Tandem Mass Spectrometry |
|
Lectures |
| Summary: |
(CIT): The ongoing success of the proteomics endeavor is the result of a symbiosis between experimental ingenuity and efficient bioinformatics. But despite valuable contributions, the road to a understanding of protein behavior is still hurdled by significant difficulties in the extensive identification of unexpected post-translational modifications and highly modified peptides. Recently, tandem mass spectrometry (MS/MS) based approaches seemed to be reaching the limit on the amount of information that could be extracted from MS/MS spectra. However, a closer look reveals that a common limiting procedure is to analyze each spectrum in isolation, even though high throughput mass spectrometry regularly generates spectra from related peptides. By capitalizing on this redundancy we show that, similarly to the alignment of protein sequences, unidentified MS/MS spectra can also be aligned for the identification of modified and unmodified variants of the same peptide. Moreover, this alignment procedure can be iterated for the accurate grouping of multiple peptide variants. In fact, when applied to a set of spectra from cataractous lenses proteins from a 93-year old patient, spectral networks were able to capitalize on the highly correlated peaks in spectra from variants of the same peptide to rediscover the modifications identified by database search methods and additionally discovered several novel modification events. |
| Notes: |
Title from title screen (viewed Oct. 15, 2007). |
|
Streaming video (1 hr., 16 min. : sd., col.). |
|
Mode of access: World Wide Web. |
|
Open-captioned. |
| Terms of Use: |
Copyright: This is a work of the United States Government. |
| NLM Unique ID: |
101317948 |
| Other ID Numbers: |
(DNLM)CIT:14037 |
