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ProCope–protein complex prediction and evaluation

Publication Type  Journal Article
Authors  Jan Krumsiek, Caroline C. Friedel, Ralf Zimmer
Year of Publication  2008
Journal  Bioinformatics
Volume  24
Number  18
Pages  2115–2116
Month  Sep
Keywords  networks
DOI  10.1093/bioinformatics/btn376
Citation Key  Krumsiek2008
Document visibility  Global publication list
URL1  Project Website
Export  BibTex

Abstract

SUMMARY: Recent advances in high-throughput technology have increased the quantity of available data on protein complexes and stimulated the development of many new prediction methods. In this article, we present ProCope, a Java software suite for the prediction and evaluation of protein complexes from affinity purification experiments which integrates the major methods for calculating interaction scores and predicting protein complexes published over the last years. Methods can be accessed via a graphical user interface, command line tools and a Java API. Using ProCope, existing algorithms can be applied quickly and reproducibly on new experimental results, individual steps of the different algorithms can be combined in new and innovative ways and new methods can be implemented and integrated in the existing prediction framework. AVAILABILITY: Source code and executables are available at http://www.bio.ifi.lmu.de/Complexes/ProCope/.