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MassNet: a functional annotation service for protein mass spectrometry data

Although mass spectrometry has been frequently used to identify proteins, there are no web servers that provide comprehensive functional annotation of those identified proteins. It is necessary to provide such web service due to a rapid increase in the data. We, therefore, introduce MassNet, which p...

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Detalles Bibliográficos
Autores principales: Park, Daeui, Kim, Byoung-Chul, Cho, Seong-Woong, Park, Seong-Jin, Choi, Jong-Soon, Kim, Seung Il, Bhak, Jong, Lee, Sunghoon
Formato: Texto
Lenguaje:English
Publicado: Oxford University Press 2008
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2447811/
https://www.ncbi.nlm.nih.gov/pubmed/18448467
http://dx.doi.org/10.1093/nar/gkn241
Descripción
Sumario:Although mass spectrometry has been frequently used to identify proteins, there are no web servers that provide comprehensive functional annotation of those identified proteins. It is necessary to provide such web service due to a rapid increase in the data. We, therefore, introduce MassNet, which provides (i) physico-chemical analysis information, (ii) KEGG pathway assignment (iii) Gene Ontology mapping and (iv) protein–protein interaction (PPI) prediction for the data from MASCOT, Prospector and Profound. MassNet provides the prediction information for PPIs using both 3D structural interaction and experimental interaction deposited in PSIMAP, BIND, DIP, HPRD, IntAct, MINT, CYGD and BioGrid. The web service is freely available at http://massnet.kr or http://sequenceome.kobic.re.kr/MassNet/.