Parallel computing in biomedical research.

R L Martino; C A Johnson; E B Suh; B L Trus; T K Yap

doi:10.1126/science.8052847

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PubMed · 8052847

Parallel computing in biomedical research.

R L Martino·C A Johnson·E B Suh·B L Trus·T K Yap

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Abstract

Scalable parallel computer architectures provide the computational performance needed for advanced biomedical computing problems. The National Institutes of Health have developed a number of parallel algorithms and techniques useful in determining biological structure and function. These applications include processing electron micrographs to determine the three-dimensional structure of viruses, calculating the solvent-accessible surface area of proteins to help predict the three-dimensional conformation of these molecules from their primary structures, and searching for homologous DNA or amino acid sequences in large biological databases. Timing results demonstrate substantial performance improvements with parallel implementations compared with conventional sequential systems.

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Algorithms Capsid Computer Simulation Computers Databases, Factual Image Processing, Computer-Assisted National Institutes of Health (U.S.)Protein Conformation Protein Folding Research Sequence Homology, Nucleic Acid Simplexvirus Tomography, Emission-Computed United States Journal Article

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R L Martino, C A Johnson, E B Suh, B L Trus, T K Yap. 1994-08-12. Parallel computing in biomedical research.. https://doi.org/10.1126/science.8052847

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