The DOI matches its Crossref record; 30 of the 30 references it cites were found in a registry or an index.
Proteome-pI: proteome isoelectric point database
Open accessAbstract
Proteome-pI is an online database containing information about predicted isoelectric points for 5029 proteomes calculated using 18 methods. The isoelectric point, the pH at which a particular molecule carries no net electrical charge, is an important parameter for many analytical biochemistry and proteomics techniques, especially for 2D gel electrophoresis (2D-PAGE), capillary isoelectric focusing, liquid chromatography-mass spectrometry and X-ray protein crystallography. The database, available at http://isoelectricpointdb.org allows the retrieval of virtual 2D-PAGE plots and the development of customised fractions of proteome based on isoelectric point and molecular weight. Moreover, Proteome-pI facilitates statistical comparisons of the various prediction methods as well as biological investigation of protein isoelectric point space in all kingdoms of life. For instance, using Proteome-pI data, it is clear that Eukaryotes, which evolved tight control of homeostasis, encode proteins with pI values near the cell pH. In contrast, Archaea living frequently in extreme environments can possess proteins with a wide range of isoelectric points. The database includes various statistics and tools for interactive browsing, searching and sorting. Apart from data for individual proteomes, datasets corresponding to major protein databases such as UniProtKB/TrEMBL and the NCBI non-redundant (nr) database have also been precalculated and made available in CSV format.
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“Genomes contain the information necessary for the cell to produce proteins; the higher the genome complexity, the larger the number of proteins that can be codified [5].”
Background
Metadata
- Authors
- Kozlowski, L. P.
- Venue
- Nucleic Acids Research
- Publisher
- Oxford University Press (OUP)
- Published
- 2016-10-25
- Volume
- 45
- Issue
- D1
- Pages
- D1112-D1116
- ISSN
- 0305-1048 (ISSN-L)
- 1362-4962
- OpenAlex
- W2546159719
- Cited by
- 264
- References
- 30
- FWCI
- 9.33
- Type
- journal article
- Language
- en
- Open access
- gold
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