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.
- BioAssay Ontology: Knowledge-based description of chemical biology assays and screening results
- LIFE: LINCS Information FramEwork
- Protein-Drug Interactions: Protein family- and proteome-wide characterization of drug binding interactions for polypharmacology
- Chemical Space: Property-based and functional characterization of chemical space
- Modeling of Chemical Transformations: Knowledge-based description and simulation of synthetically accessible chemistry space
- Collaboration Infrastructure: Sharing and exchanging chemoinformatics data
Summer Research Training Program in Biomedical Big Data […]
UM reserach team will create a Data Coordination and Integration Center for the LINCS program.
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