Note to users. If you're seeing this message, it means that your browser cannot find this page's style/presentation instructions -- or possibly that you are using a browser that does not support current Web standards. Find out more about why this message is appearing, and what you can do to make your experience of our site the best it can be.

Sci. Signal., 31 August 2010
[DOI: 10.1126/scisignal.2001099]

Supplementary Materials for:

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}

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; or StuffIt Expander (Windows and Mac;

Citation: D. Schwartz, G. M. Church, Collection and Motif-Based Prediction of Phosphorylation Sites in Human Viruses. Sci. Signal. 3, rs2 (2010).

© 2010 American Association for the Advancement of Science

To Advertise     Find Products

Science Signaling. ISSN 1937-9145 (online), 1945-0877 (print). Pre-2008: Science's STKE. ISSN 1525-8882