C11631: Novel Software for Biomarker Detection and IdentificationNovelty:
This technology is novel software comprising an algorithm that compares detectable protein levels from complex protein mixtures for biomarker discovery.
Value Proposition:
The technology outlined provides robust and accurate bioinformatics methods for detecting and identifying protein biomarkers. The algorithm allows for less data manipulation than other techniques and results in data more closely related to experimental values. Other advantages include:
• Faster identification of more precise biomarkers that can be readily validated in larger in vitro, in vivo, and clinical assays.
• Cost efficient validation protocol.
• The software is easily amenable to function in any existing machinery used for proteomic data analysis.
Technical Details:
Johns Hopkins researchers have developed a computer program to assess statistically significant differences in the molecular composition of complex protein mixtures. Specifically, whole blood shotgun proteomic analysis was conducted on human serum samples taken before and after cardiac ischemia. Non-parametric statistics were used to develop a unique peptide-derived statistical descriptor for each protein within the comparative phenotypic samples. The formulation allows for the non-biased identification of differentially expressed proteins and prospective biomarker discovery. Several candidate biomarkers associated with ischemic disorders were proposed. Some have been previously linked to other inflammatory conditions. Current shotgun proteomic data analysis incorporates artificial scoring parameters, which were excluded from this invention. This technology appears to enable a more realistic characterization of proteins represented within samples.
Looking for Partners:
To develop & commercialize the technology as computational software for the determination of prospective biomarker proteins when comparing samples from two different phenotypes
Stage of Development:
Pre-clinical
Data Availability:
Data available for an ischemia model which was used to accurately determine biomarkers from thousands of proteins in a mixture.
Publications/Associated Cases:
Not Available at this time
