Using the scan‐x Web Site to Predict Protein Post‐Translational Modifications
Author:
Affiliation:
1. Department of Genetics, Harvard Medical School Boston Massachusetts
2. Department of Physiology and Neurobiology, University of Connecticut Storrs Connecticut
Publisher
Wiley
Subject
General Medicine
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1002/0471250953.bi1316s36
Reference12 articles.
1. PhosphoPep—a phosphoproteome resource for systems biology research in Drosophila Kc167 cells
2. PHOSIDA 2011: the posttranslational modification database
3. PhosphoSite: A bioinformatics resource dedicated to physiological protein phosphorylation
4. NetPhosYeast: prediction of protein phosphorylation sites in yeast
5. Scansite 2.0: proteome-wide prediction of cell signaling interactions using short sequence motifs
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