Predicting protein complexes

(This page implements the ProNet algorithm discussed in our paper: S Asthana, OD King, FD Gibbons, FP Roth. Predicting protein complex membership using probabilistic network reliability. Genome Res., 14, 1170-1175 (2004).) PDF

A wealth of information is now available - and more is being accumulated daily - on interactions between pairs of proteins. This project is an effort to use the accumulated information to predict protein complexes. How it works.

The input file must consist of a list of 'ynames' (ORF names), one per line

Enter your list of protein ynames (one line each) in this text box.
or upload a file containing the names here
Number of results to display:
Show me a graph, as well as a table:
Use the MIPS interaction dataset:
For a demonstration, just click 'Predict' without entering any data.

This program was originally written by Saurabh Asthana and is maintained by John Beaver. Report problems with this script to John Beaver.
Generic comments or bug-reports about the Roth Lab web site should be sent to the Webmaster.

What else goes on at the Roth Lab?