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The Drug Discovery Team use a distributed and parallelized computing environment for many of our modeling and data analysis procedures. The Team is working on innovative computational‐driven approaches and technologies that are relatively broadly targeted at the analysis and modeling at life science data with the goal towards developing small molecule chemical probes and human therapeutics.


Research Highlights

BD2K-LINCS Summer Research Training Program Has Begun

Summer Research Training Program in Biomedical Big Data […]

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UM Awarded NIH Big Data to Knowledge (BD2K) Grant

UM reserach team will create a Data Coordination and Integration Center for the LINCS program.

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Allosteric Inhibition of the IRE1α RNase Preserves Cell Viability and Function during Endoplasmic Reticulum Stress

ER stress triggers a “terminal UPR” via hyperactivation of IRE1α, an ER kinase/RNase

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MASTHEAD IMAGE SOURCE:  Wikimedia Commons, Public Domain Chemical Genomics Robot photo by Maggie Bartlett, National Human Genome Research Institute.