T. M. MuraliProfessor
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Research Interests
T. M. Murali is a professor in the Department of Computer Science at Virginia Tech. He co-directs the ICTAS Center for Systems Biology of Engineered Tissues and is the associate director of the Computational Tissue Engineering interdiscplinary graduate education programme. He is also affiliated with the Genetics, Bioinformatics and Computational Biology graduate programme. Murali's research group develops phenomenological and predictive models dealing with the function, behaviour, and properties of large-scale molecular interaction networks in the cell. He received his undergraduate degree in computer science from the Indian Institute of Technology, Madras and his Sc. M. and Ph. D. degrees from Brown University.
Computational Systems Biology Research GroupURL: http://bioinformatics.cs.vt.edu/~murali/research.html The functioning of a living cell is governed by intricate networks of physical, functional, and regulatory interactions among different types of molecules. The goal of our research is to build phenomenological and predictive models of these networks by developing approaches based on graph theory, data mining, and machine learning. We drive this work through collaborations with computer scientists and with life science researchers spanning diverse fields including biochemistry, infectious diseases, plant pathology, and tissue engineering. |
Please see projects at: https://bioinformatics.cs.vt.edu/~murali/
ABI Innovation: Bridging the Gap Between the Transcriptome and the Protemome to Study Inter-Cellular Signaling
Granting Institution: National Science Foundation
Amount: $1,102,996
AF: Small: Collaborative Research: Cell Signaling Hypergraphs: Alogrithms and Applications
Granting Institution: NSF
Amount: $287,993.00
Gene Ontology terms and Automated Annotaion for Energy-related Microbial Genomies
Granting Institution: Dept. of Energy
Amount: $1,142,453
GraphCrowd:Using Crowdsourced Design to Visualize Effects of Environmental Chemicals on Signaling Networks
Granting Institution: National Cancer Institute
Amount: $626,159
Integrating Top-Down and Bottom-Up Models in Systems Biology with Applications to Cell Cycle Conrol in Budding Yeast
Granting Institution: National Institutes of Health
Amount: $2,792,278
Microbial ENergy processes Gene Ontology Project
Granting Institution: Department of Energy
Amount: $1,150,000
Multi Scale Modeling of Toxicant Responses in Engineered Liver Mimics
Granting Institution: US EPA
Amount: $750,000
Transcriptional Signatures of 3D Liver Mimetic Architectures
Granting Institution: National Science Foundation
Amount: $304,681