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In the current study, we outline a kinase-likeness scoring function based on known kinase inhibitors.
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MAGI2 is predicted to be involved in the phosphatidylinositol 3-kinase pathway based on known interactions with PTEN.
It is based on known information.
One project was based on known technology.
Antibodies were selected based on known performance.
The p38 MAP kinase inhibitor SB202190 shows no inhibition of the pathway in the AP-1 bla ME180 CellSensor as could be predicted based on known pathway components.
Drug signature is defined based on known drug targets.
Herein, we report the high throughput screening results for a targeted library of approximately 26,000 compounds that was designed based on current kinase inhibitor scaffolds and known kinase binding sites.
However, they reveal the biological processes of the poorly known kinase genes based on the known functions of other genes that are coordinately expressed with the gene of interest.
This methodology is based on the observation that various physicochemical properties of known kinase active compounds such as molecular weight, polar surface area, and rotatable bonds are unique for this structural target class and can be used to differentiate kinase active compounds from molecules of other structural classes.
From this pool of 711,827 compounds, all the known kinase actives and duplicates were removed and a kinase-focused library was constructed by selecting the top 10,000 compounds based on their kinase-likeness score (KLS).
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