| URL: | http://isoelectricpointdb2.org |
| Full name: | proteome isoelectric point database |
| Description: | The goals of the database include making statistical comparisons of the various prediction methods as well as facilitating the biological investigation of protein isoelectric point space. 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 cIEF, liquid chromatography–mass spectrometry LC-MS and X-ray protein crystallography. |
| Year founded: | 2022 |
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| Accessibility: |
Accessible
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| Country/Region: | Poland |
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| University/Institution: | University of Warsaw |
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| Country/Region: | Poland |
| Contact name (PI/Team): | Lukasz P. Kozlowski |
| Contact email (PI/Helpdesk): | lukaszkozlowski.lpk@gmail.com |
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Proteome-pI 2.0: proteome isoelectric point database update. [PMID: 34718696]
Proteome-pI 2.0 is an update of an online database containing predicted isoelectric points and pKa dissociation constants of proteins and peptides. 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. Additionally, it can be obtained directly from the pKa values of individual charged residues of the protein. The Proteome-pI 2.0 database includes data for over 61 million protein sequences from 20 115 proteomes (three to four times more than the previous release). The isoelectric point for proteins is predicted by 21 methods, whereas pKa values are inferred by one method. To facilitate bottom-up proteomics analysis, individual proteomes were digested in silico with the five most commonly used proteases (trypsin, chymotrypsin, trypsin + LysC, LysN, ArgC), and the peptides' isoelectric point and molecular weights were calculated. The database enables the retrieval of virtual 2D-PAGE plots and customized fractions of a proteome based on the isoelectric point and molecular weight. In addition, isoelectric points for proteins in NCBI non-redundant (nr), UniProt, SwissProt, and Protein Data Bank are available in both CSV and FASTA formats. The database can be accessed at http://isoelectricpointdb2.org. |