Platforms, data sources, and research centers that power the Iyengar Lab ecosystem.
Multiscale Capability for Adverse Event Predictions
predictoX is a platform for predicting adverse events. Users can search by Drug to find DrugTox Summary Cards, or by Gene to find drugs that regulate expression in cardiomyocytes.
The platform integrates summary signatures for cardiotoxicity, pathways, and pathway genes to provide a comprehensive view of potential toxicity mechanisms.
Molecular Signatures for Adverse Events
The DToxS Center generates molecular signatures related to adverse events associated with FDA-approved drugs. These signatures were obtained from primary cardiomyocyte-like heart cells and stem cell-derived cardiomyocytes from forty healthy subjects (male and female).
Supported by the NIH Common Fund LINCS Program. All data is freely available.
A Trans-disciplinary Center for Systems Pharmacology
SBCNY uses systems approaches to study pathophysiological processes and drug action. This highly collaborative group integrates expertise in genomics, proteomics, cell biology, physiology, and computational modeling — including statistical models, network analysis, and ODE/PDE methods.
Their aim is to understand how molecular interactions within regulatory networks result in tissue behavior to predict new drug targets and adverse events. The center also offers educational programs, including free online Coursera courses and an undergraduate summer program for CUNY students.
The Iyengar Lab is affiliated with the Icahn School of Medicine at Mount Sinai. Our research programs are funded by the NIH, the NIH Common Fund LINCS Program, and other federal and institutional sources.