Korea@Home project attempts to harness a massive computing power using the great numbers of PCs
distributed over the Internet. The computing power is used to process the massive information which is difficulty of working in single process or small supercomputer like a astronomy analysis, Climate Prediction, etc. Korea has a very advanced high-speed Internet infrastructure. It is known that Korea has the best Internet utilization among any other countries in the world. In Korea, the popularization of PC is about 77%, and high-speed Internet users are about 57%. These are distinguished from other countries, for instance, US, Singapore, France, or England. This advanced infrastructure is advantageous to build the Internet-based distributed computing environment with low costs and high efficiency.
The docking and in silico ligand screening procedures could have used a very power technology for identifying small sets of likely lead candidates from large libraries of either commercially or synthetically available compounds; however, for performing the vast number of the compound libraries, the potential size of this task enormous is depend on the computer power. To accelerate the discovery of drugs to inhibit several targets, we have exploited massively distributed computing for virtual screening of the compound libraries. The Korea@HOME project was launched in Feb. 2002, and one year later, more than 13,344 PC’s have been recruited. This has created a 1.43-teraflop machine that has already provided more than 1400 hours of CPU time.
It has allowed that millions of compounds libraries are virtually screened against target proteins in a matter of days. Now, the virtual screening software, ViSION(TM), is available in-house at the BMD. For further information on the korea@home
visit: http://www.koreaathome.org
① ViSION
- Virtual Screening and Investigation On Network
- Modules : Molecular Library (BMDL), Viewer, Docking
- Platform : Windows(C#, OpenGL)
- Method : Genetic Algorithm
② PAS finder
- Protein Active Site finder
- Platform : Web(Python 2.2), Windows(Delphi)
Korea@Home
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