|
|
Bioinformatics.org
|
![[?]](https://www.bioinformatics.org/images/icons/info.png)
|
|
Research
|
Online databases
Online analysis tools
Online education tools
|
|
Development
|
|
|
Forums
|
News & Commentary
Jobs Forum
(Career Center)
|
|
|
News & Commentary - Message forums
|
         
|
 |
|
Software: IPC 2.0: prediction of isoelectric point and pKa dissociation constants
Submitted by Lukasz Pawel Kozlowski; posted on Thursday, July 08, 2021
|
IPC 2.0 – Isoelectric Point Calculator 2.0 is a web service and a standalone program for the estimation of protein and peptide isoelectric point (pI) and dissociation constant (pKa) values using a mixture of deep learning and support vector regression models.
Input: amino acid sequence(s)
Output: pI values predicted by >15 methods alongside with pKa dissociation constants for charged residues
Isoelectric point, the pH at which a particular molecule carries no net electrical charge, is a critical parameter for many analytical biochemistry and proteomics techniques, especially for 2D gel electrophoresis (2D-PAGE), capillary isoelectric focusing (cIEF), X-ray crystallography, and liquid chromatography--mass spectrometry (LC-MS).
According to the benchmarks, the prediction accuracy (RMSD) of IPC 2.0 for proteins and peptides outperforms previous algorithms: 0.848 versus 0.868 and 0.222 versus 0.405, respectively. Moreover, the IPC 2.0 prediction of pKa using sequence information alone was better than the prediction from structure-based methods (0.576 versus 0.826) and a few folds faster.
|
|
Expanded view | Monitor forum | Save place
Start a new thread:
You have to be to post a reply.
|
|
![[University of Birmingham]](https://www.bioinformatics.org/images/ack_banners/Birmingham-728x90.gif)
![[Patsnap]](https://www.bioinformatics.org/images/ack_banners/Patsnap-728x90.png)