Office of Technology Transfer – University of Michigan

MSFrager - Ultrafast and Comprehensive Identification of Peptides from Tandem Mass Spectra

Technology #7143

Questions about this technology? Ask a Technology Manager

Download Printable PDF

The advent of tandem mass spectrometry (MS/MS) also known as shotgun proteomics has enabled the identification of large numbers of proteins in a biological sample and had become an indispensable tool for academic researchers as well as pharmaceutical and molecular diagnostic companies around the world. Currently, the field of tandem mass spectroscopy represents the biggest share (36%) of the mass spectroscopy market. However, the analysis of large amount data produced by proteomics experiments in addition to the advances in speed of modern instrument and growing interest in protein-drug, protein-protein interaction as well a post-translation modification has produced a significant challenge. While computer clusters are an option to provide additional processing power, but due to their expense, difficulty to maintain, and limited lifespan, there is a need for alternative methods to combat this problem.

 Graphic Processing Unit based database searching in MS/MS analysis

The present technology presents a novel peptide identification algorithm that operates on inexpensive and faster Graphic Processing Unit (GPU). The algorithm performs ~150X faster than existing methods and can identify peptide modifications in the sample through in silico digestion. This technology can also be applied to a wide variety of applications like high throughput screening, drug discovery and molecular diagnostics that require similar computations analysis.

* Peptide identification from MS/MS data
* Protein-drug interaction in high throughput screening
* Protein-protein interaction in cellular pathways
* Biomarker analysis from patient’s blood samples

* Reduces computational cost, turnaround time for proteomic analysis and false positives
* Provides cluster level performance on personal workstation and can consider all post-translation modifications