Our research concerns Big Data analytics, High-throughput chemo- and clinical informatics, Systems Engineering, Systems Networks & Pharmacology, Big Database development, Chemicals and Materials simulations, drug-repurposing, drug-protein interactions, molecular and nano-technology simulations.
Many of these research interests include the design of new chemicals, measuring or calculating the activity, functions, and toxicity of chemicals and drugs in-silico and in biological media. Applications include pharmaceuticals, and industrial materials.
Lab members have recently published in:
- Concurrency and Computation
- Expert Review of Clinical Pharmacology
- J. Immunology 
1. Elllingson Sellings, Sivanesan Dakshanamurthy, Milton Brown, Smith, Jeremy C and Jerome Baudry. Accelerating Virtual High-Throughput Ligand Docking: Current Technology and Case Study on a Petascale Supercomputer. Concurrency and Computation: Practice and Experience Concurrency Computat.: Pract. Exper. (June 2013). doi: 10.1002/cpe.30702. Issa, N. T., Kruger, J., Byers, S. W., & Dakshanamurthy, S. (2013). Drug repurposing a reality: from computers to the clinic. Expert review of clinical pharmacology, 6(2), 95-97. doi: 10.1586/ECP.12.793. William R. Frazier, Noriko Steiner, Lihua Hou, Sivanesan Dakshanamurthy, Carolyn Katovich Hurley. Allelic Variation in KIR2DL3 Generates a KIR2DL2-like Receptor with Increased Binding to Its HLA-C Ligand. J Immunol. 2013 Jun 15;190(12):6198-208. doi: 10.4049/jimmunol.1300464