When using the MoDPepInt Server please cite the according publications from the lists provided for each individual tool.

Furthermore, please provide the following web URL with version (5.0.10) along with your citation, to enable an easy access of the MoDPepInt Server.

A general list of publications by the Freiburg Bioinformatics Group is available here.

If you have questions concerning publications or citation, please contact us.

• SH2PepInt
• SH3PepInt
• PDZPepInt
• MetaServer

• 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, 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, 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, Martin Mann, Fabrizio Costa, and Rolf Backofen
  MoDPepInt: An interactive webserver for prediction of modular domain-peptide interactions
  Bioinformatics, 2014, in press.
  
• Kousik Kundu and Rolf Backofen
  Cluster based prediction of PDZ-peptide interactions
  BMC Genomics, 15 Suppl 1 pp. S5, 2014.
  

• 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.