- Fighting antibiotic resistance using drug combinations: We are developing software tools (e.g. INDIGO, MAGENTA) that aid in the design of drug combinations that have enhanced potency and reduced potential for developing resistance. We also study pathogen metabolism and pathogen-immune interactions to discover new synergistic antibiotic therapies against M. tuberculosis, S. aureus and other pathogens.
- Systems biology algorithms to understand metabolic regulation: Our lab develops modeling tools to simulate the activity and regulation of thousands of metabolic reactions in a human or microbial cell, giving us a unique systems perspective on metabolic regulation. We have applied the methods that we developed for interpreting various omics datasets (e.g. PROM, DFA, GEMINI and ASTRIX) to understand microbial, stem-cell, cancer, and brain metabolism.
Learn more at: http://www.sriramlab.org/research
- Genome-scale network model of metabolism and histone acetylation reveals metabolic dependencies of histone deacetylase inhibitors, Genome Biology, 2019
- Transcriptomic signatures predict regulators of drug synergy and clinical regimen efficacy against Tuberculosis, mBio, 2019
- Comprehensive mapping of pluripotent stem cell metabolism using dynamic genome-scale network modeling, Cell Reports, 2017
- Granzyme B disrupts central metabolism and protein synthesis in bacteria to promote an immune cell death program, Cell, 2017
See full list of publications at: http://www.sriramlab.org/publications/
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