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Biocomputing

Van der Spoel,D., Berendsen, H.J.C. Determination of proton transfer rate constants using ab initio, molecular dynamics and density matrix evolution calculations. Pacific Symposium on Biocomputing, World Scientific, Singapore (1996) 1-14. [Pg.35]

Jeremy C. Smith Lehrstuhl fur Biocomputing, Interdisziplinares Zentrum ftir Wissen-schaftliches Rechnen der Universitat Heidelberg, Heidelberg, Gennany... [Pg.524]

Computational biology Computational molecular biology Biocomputing in silico biology... [Pg.260]

Biocomputing Molecular simulation Molecular dynamics Structural bioinformatics... [Pg.777]

Zheng W, Hung ST, Saunders JT, Seibel GL. PICCOLO a tool for combinatorial library design via multicriterion optimization. Pac Symp Biocomput 2000 588-99. [Pg.319]

In this chapter, we describe some of the advances in biocomputation that have impacted or potentially will impact pharmaceutical research and development. We list them by biological size, going from the most to the least organized, or from the most complex to the least complex. We focus on clinical sciences in particular, because we feel that simplified, but useful representations of pharmacological interventions have the greatest potential for... [Pg.516]

Das Chemidabor im Mikrochip, Blick durch die Wirtschafi, December 1997 Chemtel glass chip of Orchid Biocomputer, Princeton 144 cells for parallel processing matchbox-sized system with many devices micro pumps with no movable parts 10 nl internal volume carrying out of different reactions in parallel fashion complete chemistry laboratory en miniature 10 000 cells as future-development task [223],... [Pg.89]

Shrager, J., Langley, P. and Pohoville, A. (2002), Guiding revision of regulatory models with expression data , Pacific Symposium on Biocomputing, Vol. 7, World Scientific, pp. 486-497. [Pg.347]

Pohorille, A. Chipot, C. New, M. Wilson, M.A., Molecular modeling of protocellular functions, in Pacific Symposium on Biocomputing 96, Hunter, L. Klein, T., Eds. World Scientific Singapore, 1996, pp. 550-569... [Pg.169]

Xiong M, Akey J, Jin L. The haplotype linkage disequilibrium test for genomewide screens its power and study design. Pac Symp Biocomput 2000 26[3] 675— 686. [Pg.81]

Rindflesch TC et al. EDGAR Extraction of drugs, genes and relations from biomedical literature. Pac Symp Biocomput 2000 517-528. [Pg.113]

Ewing RM et al. EST databases as multiconditional gene expression datasets. Pac Symp Biocomput 2000 5 430-432. [Pg.113]

M.Aizawa, S.Yabuki, H.Shinohara, in Molecular Electronics- Biosensors and Biocomputers (F.T.Hong, ed.) Plenum Press, New York, 1988, pp.269-276. [Pg.364]

Karolinska Institute National Institutes of Health Nature Genetics Orchid Biocomputer Pharsight Corporation SNP Consortium Stanford University Whitehead Institute... [Pg.768]

Fujibuchi, W., Goto, S., Migimatsu, H., Uchiyama, I., Ogiwara, A., Akiyama, Y., and Kanehisa, M. (1998). DBGET/LinkDB an Integrated Database Retrieval System. Pacific Symp. Biocomputing 98. R. B. Altman, A. K. Dunker, L. Hunter, and T. E. Klein, eds.), pp. 683-694, World Scientific, Singapore. [Pg.408]

Development of biocomponents that are similar to and/or composed of biological macromolecules, the development of biochips that make use of these components, and ultimately, the construction of biocomputers (Section 1.3). [Pg.2]

T. Kaminuma and G. Matsumoto, Eds., Biocomputers The Next Generation from Japan, Chapman Hall, London, 1991. [Pg.137]

Biocomputers. 2. Neural networks (computer science) 3. Information technology. [Pg.155]

Magi R, Kaplinski L, Remm M. (2006) The whole genome tagSNP selection and transferability among HapMap populations. Pac Symp Biocomput. 535-543. [Pg.371]

Kraft P. (2006) Efficient two-stage genome-wide association designs based on false positive report probabilities. Pac Symp Biocomput. 523-534. [Pg.371]

Mason, J.S. and Cheney, D.L. Library design and virtual screening using multiple 4-point pharmacophore fingerprints. Pac. Symp. Biocomput. 1999, 4, 456-467. [Pg.138]

Blinn, J. R., Rohrer, D. C., and Maggiora, G. M. (1998) Field-based similarity forcing in energy minimization and molecular matching. In Pacific symposium on biocomputing 99, Altman, R. B., et al. (eds.), World Scientific, Singapore, pp.415-424. [Pg.48]

Labute, P. (1999) Binary QSAR a new method for the determination of quantitative structure activity relationships. Pac. Symp. Biocomput., pp. 444—455. [Pg.108]


See other pages where Biocomputing is mentioned: [Pg.260]    [Pg.260]    [Pg.1487]    [Pg.208]    [Pg.514]    [Pg.516]    [Pg.517]    [Pg.517]    [Pg.523]    [Pg.258]    [Pg.261]    [Pg.326]    [Pg.73]    [Pg.498]    [Pg.408]    [Pg.2]    [Pg.2]    [Pg.499]    [Pg.516]    [Pg.516]    [Pg.137]    [Pg.138]    [Pg.154]    [Pg.353]   
See also in sourсe #XX -- [ Pg.587 ]




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