Collection and Motif-Based Prediction of Phosphorylation Sites in Human Viruses

Daniel Schwartz* and George M. Church

*To whom correspondence should be addressed. E-mail: daniel.schwartz{at}uconn.edu

Supplementary Material for this manuscript includes the following:

• Table S1. Literature-based viral phosphorylation sites contained in the virPTM database version 1.0 (Microsoft Excel format).
• Table S2. scan-x phosphorylation prediction results on 229 human viral proteomes (.htm format in zipped folder. Please see instructions below for unzipping).
• Table S3. Positive and negative control data sets used in the determination of sensitivity and specificity of the scan-x predictor on viral phosphorylation data (Microsoft Excel format).

Instructions for downloading and decompressing (unzipping) files:

1. Create a temporary folder on your machine's hard drive.
2. Save the compressed archive to the temporary folder you created, using the links above.
3. Decompress the compressed file in the temporary folder using decompression software such as WinZip (Windows; www.winzip.com) or StuffIt Expander (Windows and Mac; www.stuffit.com).

© 2010 American Association for the Advancement of Science