The Meta-server has been implemented for the non-expert users. The output comprises predictions for all available domains for SH2, SH3 and PDZ. It reports only the 5 most confident predictions for each domain. The users are not required to set any parameters in this mode. By default all the parameters are on except pY filter (for SH2PepInt) and Cellular localization filters (for all three tools) since they need UniProt IDs of the query proteins. However, the user can easily select one of the dedicated tools for the same input to access the full prediction results and have a finer control over its parametric setting.

For articles describing the tool and webserver refer to the reference section below. Please cite us when using our tools.
For more information check the help page.

• Kousik Kundu, Martin Mann, Fabrizio Costa, and Rolf Backofen
  MoDPepInt: An interactive webserver for prediction of modular domain-peptide interactions
  Bioinformatics, 2014, in press.
  
• Kousik Kundu, Fabrizio Costa, Michael Huber, Michael Reth, and Rolf Backofen
  Semi-Supervised Prediction of SH2-Peptide Interactions from Imbalanced High-Throughput Data
  PLoS One, 8(5), pp. e62732, 2013.
  
• Kousik Kundu, Fabrizio Costa, and Rolf Backofen
  A graph kernel approach for alignment-free domain-peptide interaction prediction with an application to human SH3 domains
  Bioinformatics, 29(13), pp. i335-i343, 2013.
  
• Kousik Kundu and Rolf Backofen
  Cluster based prediction of PDZ-peptide interactions
  BMC Genomics, 15 Suppl 1 pp. S5, 2014.