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Accession number;03A0133880
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| Title;High Performance Computing for Life Science. |
| Author;
ASOGAWA M
(Nec Corp.)
TAKADA T
(Nec Corp.)
OSODA T
(Nec Corp.)
DOI S
(Nec Corp.)
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Journal Title;NEC Res Dev
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Journal Code:G0138A
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ISSN:0547-051X
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VOL.44;NO.1;PAGE.131-136(2003)
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| Figure&Table&Reference;FIG.5, TBL.1, REF.6 |
| Pub. Country;Japan |
| Language;English |
| Abstract;With the progress of genomic research projects and computer system performance, a new era for bioinformatics has already begun. The progress of genomic research projects yields huge sequences and biological experimental results. This data is a treasure house of knowledge promising efficient novel drug discovery. From the aspect of extracting valuable knowledge from data, query learning and parallel sequence similarity search program are described. The progress of computer system performance makes detailed chemical simulation possible. However, system performance is not enough for detailed simulation. In addition techniques for combining rather coarse methods have been developed and successfully applied to several chemical reaction simulations. From this aspect, combination of quantum mechanics (QM) and molecular mechanics (MM) is described. (author abst.) |
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