The brothers got the idea for the drug -
gene interaction database after they repeatedly were asked whether lists of genes identified through cancer genome sequencing could be targeted with existing drugs.
Not exact matches
They used another
database listing
interactions between different proteins, to narrow down the list of
genes and account for
interactions between them.
«The
database is a precious resource for the research community studying plant - microbe
interactions as it is an unbiased way to identify potentially interesting
genes involved in
interaction with a plant — including many totally novel
genes.
Details that can be included are biochemical reactions;
gene regulatory networks; genetic
interactions; proteins, small molecules, DNA, RNA, complexes and their cellular locations; complex assembly and transport; post-translational protein modifications; citations; experimental evidence; and links to other
databases e.g. protein sequence annotation.
ARNIE is an online
database that integrates the extracellular protein
interaction network generated in our lab using AVEXIS technology with spatiotemporal expression patterns for all
genes in the network.
There are already well established
databases within the consortium, the London Pain
Database (LPD) and QUAST (DFNS, Germany): The LPD is used for datamining of functional genomics data to help identify individual
genes and functional networks associated with chronic pain, QUAST on the other hand collects questionnaire data, clinical and neurophysiological findings and calculates valid clusters of phenotypes with different
interaction patterns of sensory loss with and without different types of peripheral and central hyperalgesia based on QST (quantitative sensory testing) data.