Journal of Proteomics & Bioinformatics
Open Access
ISSN: 0974-276X
ISSN: 0974-276X
Suresh Mathivanan
La Trobe Institute for Molecular Science,
Bundoora, Victoria 3086
Australia
Research Article
Integrated Bioinformatics Analysis of the Publicly Available Protein Data
Shows Evidence for 96% of the Human Proteome
Author(s): Suresh Mathivanan
Suresh Mathivanan
Protein-coding genes are predicted by genome annotation pipelines and are conceptually translated into protein sequences. Several thousands of these protein-coding genes catalogued in publicly-available databases seldom have evidence at the protein level. In this study, we have created a map of the human proteome by integrating publicly-available proteomic studies and resources. With the encompassed data, we are able to map 96% of the human proteome with ample experimental evidence for protein expression. Over 2.2 million annotations are recorded for 19,716 proteins from 63,239 independent studies that utilized more than 800 tissue/cell types/body fluids. Among the mapped human proteome, 96% of the protein expression is supported by two or more independent studies or experimental methods. The collated data (localization, tissue expression, post-translational modifications, proteinprot.. View More»
DOI:
10.4172/jpb.1000301