Literature DB >> 23013656

Identification of two post-translational modifications via tandem mass spectrometry.

Hui Li1, Chunmei Liu, Legand Burge, William Southerland.   

Abstract

Post-Translational Modifications (PTMs) play most important roles in the accomplishment of biological processes and molecular functions. It is challenging to identify two PTMs for a tandem mass spectrum. In this paper, we proposed a new algorithm to detect two PTMs with unknown types. First, we constructed a Pair of Peak Set (PPS) which is composed of pairs of peaks that have the highest sum of intensities. Second, we revealed the relationship between PPS and the whole experimental spectrum. Third, a series of logic conditions was proposed to detect PTMs from a MS/MS spectrum. Finally, we used a scoring function to rank the candidate hits. We applied the method to a large MS/MS data set and the experimental results demonstrated that the proposed method achieved better performance of identifying any types of PTMs in a blind mode than current existing methods.

Entities:  

Mesh:

Year:  2012        PMID: 23013656      PMCID: PMC3635137          DOI: 10.1504/IJCBDD.2012.049210

Source DB:  PubMed          Journal:  Int J Comput Biol Drug Des        ISSN: 1756-0756


  9 in total

1.  Efficiency of database search for identification of mutated and modified proteins via mass spectrometry.

Authors:  P A Pevzner; Z Mulyukov; V Dancik; C L Tang
Journal:  Genome Res       Date:  2001-02       Impact factor: 9.043

2.  Probability-based protein identification by searching sequence databases using mass spectrometry data.

Authors:  D N Perkins; D J Pappin; D M Creasy; J S Cottrell
Journal:  Electrophoresis       Date:  1999-12       Impact factor: 3.535

3.  Mutation-tolerant protein identification by mass spectrometry.

Authors:  P A Pevzner; V Dancík; C L Tang
Journal:  J Comput Biol       Date:  2000       Impact factor: 1.479

4.  High-throughput identification of proteins and unanticipated sequence modifications using a mass-based alignment algorithm for MS/MS de novo sequencing results.

Authors:  Brian C Searle; Surendra Dasari; Mark Turner; Ashok P Reddy; Dongseok Choi; Phillip A Wilmarth; Ashley L McCormack; Larry L David; Srinivasa R Nagalla
Journal:  Anal Chem       Date:  2004-04-15       Impact factor: 6.986

5.  InsPecT: identification of posttranslationally modified peptides from tandem mass spectra.

Authors:  Stephen Tanner; Hongjun Shu; Ari Frank; Ling-Chi Wang; Ebrahim Zandi; Marc Mumby; Pavel A Pevzner; Vineet Bafna
Journal:  Anal Chem       Date:  2005-07-15       Impact factor: 6.986

6.  SPIDER: software for protein identification from sequence tags with de novo sequencing error.

Authors:  Yonghua Han; Bin Ma; Kaizhong Zhang
Journal:  J Bioinform Comput Biol       Date:  2005-06       Impact factor: 1.122

7.  Fast de novo peptide sequencing and spectral alignment via tree decomposition.

Authors:  Chunmei Liu; Yinglei Song; Bo Yan; Ying Xu; Liming Cai
Journal:  Pac Symp Biocomput       Date:  2006

8.  An approach to correlate tandem mass spectral data of peptides with amino acid sequences in a protein database.

Authors:  J K Eng; A L McCormack; J R Yates
Journal:  J Am Soc Mass Spectrom       Date:  1994-11       Impact factor: 3.109

9.  Mining genomes: correlating tandem mass spectra of modified and unmodified peptides to sequences in nucleotide databases.

Authors:  J R Yates; J K Eng; A L McCormack
Journal:  Anal Chem       Date:  1995-09-15       Impact factor: 6.986

  9 in total

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