Deep Convolutional Neural Networks Help Scoring Tandem Mass Spectrometry Data in Database-Searching Approaches

2021 ◽  
Vol 20 (10) ◽  
pp. 4708-4717
Author(s):  
Polina Kudriavtseva ◽  
Matvey Kashkinov ◽  
Attila Kertész-Farkas
Author(s):  
Marcela Aguilera Flores ◽  
Iulia M Lazar

Abstract Summary The ‘Unknown Mutation Analysis (XMAn)’ database is a compilation of Homo sapiens mutated peptides in FASTA format, that was constructed for facilitating the identification of protein sequence alterations by tandem mass spectrometry detection. The database comprises 2 539 031 non-redundant mutated entries from 17 599 proteins, of which 2 377 103 are missense and 161 928 are nonsense mutations. It can be used in conjunction with search engines that seek the identification of peptide amino acid sequences by matching experimental tandem mass spectrometry data to theoretical sequences from a database. Availability and implementation XMAn v2 can be accessed from github.com/lazarlab/XMAnv2. Supplementary information Supplementary data are available at Bioinformatics online.


PROTEOMICS ◽  
2007 ◽  
Vol 7 (18) ◽  
pp. 3245-3258 ◽  
Author(s):  
Kristian Flikka ◽  
Jeroen Meukens ◽  
Kenny Helsens ◽  
Joël Vandekerckhove ◽  
Ingvar Eidhammer ◽  
...  

2011 ◽  
Vol 83 (17) ◽  
pp. 6911-6911
Author(s):  
Florian Rasche ◽  
Aleš Svatoš ◽  
Ravi Kumar Maddula ◽  
Christoph Böttcher ◽  
Sebastian Böcker

2008 ◽  
Vol 7 (12) ◽  
pp. 2386-2398 ◽  
Author(s):  
Robert J. Chalkley ◽  
Peter R. Baker ◽  
Katalin F. Medzihradszky ◽  
Aenoch J. Lynn ◽  
A. L. Burlingame

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