protein-protein interaction networks

Using pathway and network analyses, researchers identified overlapping genes and biological processes behind smoking and schizophrenia, including new candidate genes.

Genome Canada and its partners recently funded two new initiatives with C$255 that will back precision medicine, genomics, and technology development.

The Danish informatics firm is exploring analytical tools for its InWeb_InBioMap network, which currently contains more than 700,000 protein-protein interactions. 

Researchers get a clear image of the DROSHA protein and gain a better understanding of the Microprocessor complex involved in miRNA biogenesis. 

The work offers a proof of concept for the notion that dynamic models of signaling could serve as more effective biomarkers than discrete molecular markers.

Researchers develop a method to capture protein-protein interactions as well as to gauge how frequently they occur and their strength.

Harvard researchers have developed a model of human protein-protein interactions that they said can be used to study interactome organization.

DSysMap combines mutation information with protein interaction data to provide a clearer picture of functional changes associated with the development of complex diseases.

Researchers have developed a mathematical framework for forming disease modules based on protein interaction profiles and GWAS data.

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In a study, the method was able to detect the interaction of EGFR with an associated signaling protein and predict response to targeted therapies.

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In an against-all-odds twist, a researcher studying exceeding rare FOXG1 mutations discovers her daughter has the syndrome.

An effort by Genomics Medicine Ireland is creating a database of diseases based on the genomics of people in Ireland. It now is looking into the possibility of including Scotland in its work.

In recent weeks, the direct-to-consumer genetics firm has rolled out a health hub where customers can share information concerning 18 common health conditions.

In PLOS this week, new genes associated with prostate cancer risk, genetic patterns in M. bovis, and more.