Literature DB >> 8052847

Parallel computing in biomedical research.

R L Martino1, C A Johnson, E B Suh, B L Trus, T K Yap.   

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.

Mesh:

Year:  1994        PMID: 8052847     DOI: 10.1126/science.8052847

Source DB:  PubMed          Journal:  Science        ISSN: 0036-8075            Impact factor:   47.728


  2 in total

1.  Refinement of herpesvirus B-capsid structure on parallel supercomputers.

Authors:  Z H Zhou; W Chiu; K Haskell; H Spears; J Jakana; F J Rixon; L R Scott
Journal:  Biophys J       Date:  1998-01       Impact factor: 4.033

2.  Low cost, high performance GPU computing solution for atomic resolution cryoEM single-particle reconstruction.

Authors:  Xiaokang Zhang; Xing Zhang; Z Hong Zhou
Journal:  J Struct Biol       Date:  2010-05-21       Impact factor: 2.867

  2 in total

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