Srinivas (ravi) Iyengar, PhD
About Me
Dr. Iyengar is a Dorothy H. and Lewis Rosenstiel Professor in the Department of Pharmacology and Systems Therapeutics.
Trained as a biochemist, Dr. Iyengar's research focuses on cell signaling networks with emphasis on heterotrimeric G protein pathways. His laboratory uses a combination of experimental and computational approaches to understand the regulatory and information processing capabilities of cellular signaling networks, and how they affect cell and tissue physiology.
Research Interests:
Systems pharmacology and systems biology
Computational cell biology
Cellular signaling networks
Spatial modeling of cell signaling
G-protein mediated intracellular signaling in neurons
Spatiotemporal organization of cellular networks, and physiological outcomes
Websites:
In the News:
GLP-1, TZD Combo May Cut Heart Risk
Big Data Reaps Big Rewards in Drug Safety
Can 'Big Data' Help Increase Drug Safety?
Mount Sinai School of Medicine Bringing Free Courses Online
Mount Sinai Discovers Genetic Framework to Explain and Predict Adverse Drug Reactions
Language
Position
Research Topics
Axonal Growth and Degeneration, Bioinformatics, Cardiovascular, Cell Biology, Cell Motility, Cell Transformation, Computational Biology, Computer Simulation, Cytoskeleton, Hippocampus, Kidney, Mathematical and Computational Biology, Membranes, Memory, Phosphorylation, Protein Kinases, Proteomics, Receptors, Signal Transduction, Synaptic Plasticity, Systems Biology, Theoretical Biology, Transcription Factors, cAMP
Multi-Disciplinary Training Areas
Disease Mechanisms and Therapeutics (DMT), Neuroscience [NEU]
About Me
Dr. Iyengar is a Dorothy H. and Lewis Rosenstiel Professor in the Department of Pharmacology and Systems Therapeutics.
Trained as a biochemist, Dr. Iyengar's research focuses on cell signaling networks with emphasis on heterotrimeric G protein pathways. His laboratory uses a combination of experimental and computational approaches to understand the regulatory and information processing capabilities of cellular signaling networks, and how they affect cell and tissue physiology.
Research Interests:
Systems pharmacology and systems biology
Computational cell biology
Cellular signaling networks
Spatial modeling of cell signaling
G-protein mediated intracellular signaling in neurons
Spatiotemporal organization of cellular networks, and physiological outcomes
Websites:
In the News:
GLP-1, TZD Combo May Cut Heart Risk
Big Data Reaps Big Rewards in Drug Safety
Can 'Big Data' Help Increase Drug Safety?
Mount Sinai School of Medicine Bringing Free Courses Online
Mount Sinai Discovers Genetic Framework to Explain and Predict Adverse Drug Reactions
Language
Position
Research Topics
Axonal Growth and Degeneration, Bioinformatics, Cardiovascular, Cell Biology, Cell Motility, Cell Transformation, Computational Biology, Computer Simulation, Cytoskeleton, Hippocampus, Kidney, Mathematical and Computational Biology, Membranes, Memory, Phosphorylation, Protein Kinases, Proteomics, Receptors, Signal Transduction, Synaptic Plasticity, Systems Biology, Theoretical Biology, Transcription Factors, cAMP
Multi-Disciplinary Training Areas
Disease Mechanisms and Therapeutics (DMT), Neuroscience [NEU]