title: Parallel computing in biomedical research.
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.
authors.affiliation: Computational Bioscience and Engineering Laboratory, National Institutes of Health, Bethesda, MD 20892.
authors.forename: R L
authors.initials: RL
authors.lastname: Martino
authors.forename: C A
authors.initials: CA
authors.lastname: Johnson
authors.forename: E B
authors.initials: EB
authors.lastname: Suh
authors.forename: B L
authors.initials: BL
authors.lastname: Trus
authors.forename: T K
authors.initials: TK
authors.lastname: Yap
mesh_terms: D000465:Algorithms; D002213:Capsid / Q000648:ultrastructure; D003198:Computer Simulation; D003201:Computers; D016208:Databases, Factual; D007091:Image Processing, Computer-Assisted; D009316:National Institutes of Health (U.S.); D011487:Protein Conformation; D017510:Protein Folding; D012106:Research; D012689:Sequence Homology, Nucleic Acid; D018139:Simplexvirus / Q000648:ultrastructure; D014055:Tomography, Emission-Computed; D014481:United States