ProteinCenter Verified within Leading Proteomic Centres
Product News Oct 15, 2007
Proxeon announced that proteomic groups in academia and industry are including the company’s recently launched ProteinCenter™ into their workflows.
Users confirm that ProteinCenter enables them to convert complex proteomics data into biological sense within minutes - performing bioinformatic analyses that can take months to finalize using conventional tools.
This solution for data interpretation is used at sites such as the Cambridge Centre for Proteomics, Cambridge University; the Division of Gene Regulation & Expression, University of Dundee; the Dept. of Proteomics and Signal Transduction, Max Planck Institute for Biochemistry, Martinsreid; and the Dept. of Chemistry and Chemical Biology, Northeastern University, Boston.
Dr Johanna S. Rees at the Cambridge Centre for Proteomics, explained, ‘ProteinCenter allowed us to visually and statistically compare as many as 20 multiple parallel pull down data sets and therefore only identify true binding partners with high confidence. By analyzing so many lines together we can determine common contaminants immediately, as well as pull down specific contaminants. I estimate that ProteinCenter has increased our productivity at least 10-fold’.
After mass spectrometry analysis, followed by identification and validation using conventional search engines, biologists still face the time-consuming task of using multiple data sources and analytical tools to interpret large data sets into meaningful biological information.
Recent articles in Nature Methods have highlighted the challenges involved. Basing ProteinCenter on a consolidated, biologically annotated, protein sequence database derived from all major protein databases allows filtering, clustering and statistical bioinformatic analysis from single, combined or comparison datasets.
Marten Winge, CEO at Proxeon, concluded: ‘ProteinCenter is uniquely positioned to give scientists true confidence in the interpretation and biological significance of their data - within minutes. It is very pleasing to receive such positive feedback from the proteomics community.’