Sriram is an Assistant Professor of Biomedical Engineering at the University of Michigan. He received his Ph.D. from the University of Illinois at Urbana-Champaign (2013) and his B.Tech. from Anna University (2008).
Sriram Chandrasekaran’s lab develops computer models to understand how complex networks in a cell – spanning metabolism, gene regulation and signaling – interact with each other, how these networks break down in disease, and how they can be targeted for therapy using drug combinations. The genome-scale computer models that his lab develops have several basic biological and medical applications. For example, they will be applied to understand the interplay of metabolic pathways and transcription factors during stem cell differentiation. On the biomedical front, the models will be used to design effective drug combination therapies for cancer and infectious diseases that have enhanced efficacy, diminished side effects, and reduced potential for developing drug resistance.
Saul MC, Blatti C, Yang W, Bukhari SA, Shpigler HY, Troy JM, Seward CH, Sloofman L, Chandrasekaran S, Bell AM, Stubbs L. Cross‐species systems analysis of evolutionary toolkits of neurogenomic response to social challenge. Genes, Brain and Behavior, 2018
Shpigler HY, Saul MC, Murdoch EE, Corona F, Cash‐Ahmed AC, Seward CH, Chandrasekaran S, Stubbs LJ, Robinson GE. Honey bee neurogenomic responses to affiliative and agonistic social interactions. Genes, Brain and Behavior, 2018.
Dotiwala F, Santara SS, Binker-Cosen A, Li B, Chandrasekaran S**, Lieberman J**, “Granzyme B disrupts central metabolism and protein synthesis in bacteria to promote an immune cell death program”, Cell, 2017 (** - Corresponding author). Featured in Nature Reviews Microbiology and Cell Systems. Press release - Closest look yet at killer T-cell activity could yield new approach to tackling antibiotic resistance
Chandrasekaran S*, Zhang J*, Ross C, Huang Y, Asara J.M., Li H, Daley G.Q., Collins J.J. "Comprehensive mapping of pluripotent stem cell metabolism using dynamic genome-scale network modeling", Cell Reports, 2017. Featured in Cell Systems.
Bukhari S.A, Saul M.C, Seward C.H, Zhang H., Bensky M., James N., Zhao S.D, Chandrasekaran S, Stubbs L., Bell A.M, “Temporal Dynamics of Neurogenomic Plasticity in Response to Social Interactions in Male Threespined Sticklebacks”, Plos Genetics, 2017.