GeneGo Awarded NIH Grant to Develop Pharmacogenomics Software Suite
News Jul 30, 2009
GeneGo, Inc. has announced that it has been awarded a grant to develop an integrated systems pharmacology platform for pharmacogenomic research.
The SBIR grant, funded through the innovations in biomedical computational science and technology initiative, will be used to develop a database and systems biology tool-set specifically designed for the study of mutations and sequence heterogeneity in human genes and their controlling regions, as well as the biological consequences of sequence variations on disease susceptibility and drug response.
“Genome-wide association studies and next-generation resequencing projects are already generating vast amounts of data on genetic factors contributing to disease susceptibility and variability in the pharmacological and toxicological effects of drugs,” said Richard Brennan, Director of Toxicology at GeneGo and PI on the grant.
Brennan continued, “What is lacking are powerful tools for researchers to be able to link these sequence variations to the specific mechanisms and biological pathways driving idiosyncratic outcomes. The product will smooth the progress of personalized medicine by facilitating the application of personal genetic profiling to identify optimal therapeutic strategies.”
“Receiving such a prestigious grant award is another example of the cutting edge research at GeneGo that sets us apart from other companies,” said Julie Bryant, GeneGo’s VP of Business Development. “It allows us to develop novel tools and databases to help our customers mine important content from the literature, analyze their data and test their hypotheses.”
Changing Lanes: Algorithm Helps AI Drive More Like HumansNews
For self-driving cars, algorithms for changing lanes are beset by one of two problems. Either, they rely on detailed statistical models of the driving environment, which are too complex to analyze on the fly; or they’re so simple that they can lead to impractically conservative decisions, such as never changing lanes at all. Now a new algorithm hopes to split the difference, allowing aggressive lane changes than the simple models do but relies only on immediate information about other vehicles’ directions and velocities to make decisions.
Schizophrenics' Blood Contains RNA From More MicrobesNews
The blood of schizophrenia patients features genetic material from more types of microorganisms than that of people without the debilitating mental illness, research at Oregon State University has found. What’s not known is whether that’s a cause or effect of the severe, chronic condition that strikes about one person in 100.READ MORE
Comments | 0 ADD COMMENT
2nd Annual Artificial Intelligence in Drug Development Congress
Sep 20 - Sep 21, 2018