Phosphonetworks.org: A Database for a High Resolution Map of Phosphorylation Networks in Humans

Case ID:
C12682
Disclosure Date:
8/21/2013
Database for a High Resolution Map of Phosphorylation Networks in Humans

JHU REF: [C12682]
 

Invention novelty
A high resolution map of a protein modification, phosphorylation, in humans

 

Value Proposition

Protein phosphorylation, mediated by protein kinases, is one of the essential regulatory mechanisms in eukaryotes. Biochemical analysis of kinase-substrate relationships (KSRs) using purified protein components in a global manner that is built upon direct KSRs is lacking in higher eukaryotes such as humans. Advantages of this technology include:

·         provides associated computational tools and methods for analyzing phosphorylation networks

·         narrow an important knowledge gap in cellular signaling networks in humans

 

Technical Details

Johns Hopkins researchers developed an online database, phosphonetworks.org, for a high resolution map of a protein modification, phosphorylation, in humans. Elements of this invention include: (1) The database contains 24,046 raw kinase-substrate relationships (KSRs), 3,656 KSRs that are likely to be physiologically relevant, and 4,375 KSRs combined with previously known relationships; (2) the database contains 300 phosphorylation motifs that were predicted based on newly identified KSRs. The exact position weight matrices are also included. Before this study, there are only less than 100 motifs available; (3) the database also contains 4,417 kinase-to-phosphorylation site relationships. Among them 3659 are newly identified; and (4) the database also contains computational tools that can aid the users to navigate the phosphorylation networks.

 

Looking for Partners: To develop & commercialize the technology as an online database and computational tools.

 

Stage of Development: Pre-Clinical

 

Data Availability: Under CDA / NDA

 

Patent Status: Pending

 

Publication(s)/Associated Cases: Newman, R. H., Hu, J., Rho, H. S., Xie, Z., Woodard, C., Neiswinger, J., ... & Qian, J. (2013). Construction of human activity-based phosphorylation networks. Molecular systems biology, 9(1).

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For Information, Contact:
Lisa Schwier
lschwie2@jhu.edu
410-614-0300
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