The Community for Technology Leaders
RSS Icon
Subscribe
Issue No.05 - September/October (2010 vol.12)
pp: 46-55
Anders Wallqvist , Biotechnology HPC Software Applications Institute, Frederick
Nela Zavaljevski , Biotechnology HPC Software Applications Institute, Frederick
Ravi Vijaya Satya , Biotechnology HPC Software Applications Institute, Frederick
Rajkumar Bondugula , Biotechnology HPC Software Applications Institute, Frederick
Valmik Desai , Biotechnology HPC Software Applications Institute, Frederick
Xin Hu , Biotechnology HPC Software Applications Institute, Frederick
Kamal Kumar , Biotechnology HPC Software Applications Institute, Frederick
Michael Lee , USAMRIID, Fort Detrick
In-Chul Yeh , Biotechnology HPC Software Applications Institute, Frederick
Chenggang Yu , Biotechnology HPC Software Applications Institute, Frederick
ABSTRACT
The US Department of Defense Biotechnology High-Performance Computing Software Applications Institute for Force Health Protection develops state-of-the-art high-performance computing applications that accelerate biomedical research in the development of diagnostic assays, drugs, and vaccines. The BHSAI works together with DoD life scientists to develop and integrate HPC software applications into DoD biomedical research programs.
INDEX TERMS
High-performance computing, biomedical research, drug development, vaccine development, simulation, scientific computing
CITATION
Anders Wallqvist, Nela Zavaljevski, Ravi Vijaya Satya, Rajkumar Bondugula, Valmik Desai, Xin Hu, Kamal Kumar, Michael Lee, In-Chul Yeh, Chenggang Yu, "Accelerating Biomedical Research in Designing Diagnostic Assays, Drugs, and Vaccines", Computing in Science & Engineering, vol.12, no. 5, pp. 46-55, September/October 2010, doi:10.1109/MCSE.2010.53
REFERENCES
1. R.V. Satya et al., "In Silico Microarray Probe Design for Diagnosis of Multiple Pathogens," BMC Genomics, vol. 9, no. 496, 2008; doi:10.1186/1471-2164-9-496.
2. R.V. Satya et al., "A High-Throughput Pipeline for Designing Microarray-Based Pathogen Diagnostic Assays," BMC Bioinformatics, vol. 9, no. 185, 2008; doi:10.1186/1471-2105-9-185.
3. C. Yu et al., "The Development of PIPA: An Integrated and Automated Pipeline for Genome-Wide Protein Function Annotation," BMC Bioinformatics, vol. 9, no. 52, 2008; doi:10.1186/1471-2105-9-52.
4. C. Yu et al., "Genome-Wide Enzyme Annotation with Precision Control: Catalytic Families (Catfam) Databases," Proteins, vol. 74, no. 2, 2009, pp. 449–460.
5. X. Jiang et al., "Dovis 2.0: An Efficient and Easy to Use Parallel Virtual Screening Tool Based on Autodock 4.0," Chem Cent J., vol. 2, no. 18, 2008; doi:10.1186/1752-153X-2-18.
6. I.C. Yeh et al., "Free-Energy Profiles of Membrane Insertion of the M2 Transmembrane Peptide from Influenza A Virus," Biophysical J., vol. 95, no. 11, 2008, pp. 5021–5029.
7. X. Hu et al., "In Silico Analyses of Substrate Interactions with Human Serum Paraoxonase 1," Proteins, vol. 75, no. 2, 2009, pp. 486–498.
8. M.S. Lee et al., "PSPP: A Protein Structure Prediction Pipeline for Computing Clusters," PLoS ONE, vol. 4, no. 7, 2009, e6254; doi:10.1371/journal.pone.0006254.
9. M.S. Lee, F.J. Lebeda, and M.A. Olson, "Fold Prediction of VP24 Protein of Ebola and Marburg Viruses Using de novo Fragment Assembly," J. Structural Biology, vol. 167, no. 2, 2009, pp. 136–144.
10. F.J. Lebeda et al., "Onset Dynamics of Type A Botulinum Neurotoxin-Induced Paralysis," J. Pharmacokinet Pharmacodyn, vol. 35, no. 3, 2008, pp. 251–267.
11. J.M. Frazier, Y. Chushak, and B. Foy, "Stochastic Simulation and Analysis of Biomolecular Reaction Networks," BMC Systems Biololgy, vol. 3, no. 64, 2009; doi:10.1186/1752-0509-3-64.
12. Y. Chushak and M.O. Stone, "In Silico Selection of RNA Aptamers," Nucleic Acids Research, vol. 37, no. 12, 2009; doi:10.1093/nar/gkp408.
16 ms
(Ver 2.0)

Marketing Automation Platform Marketing Automation Tool