Thank you for joining our "Discovering Dengue Drugs - Together" project! Your computers will provide the global computing power necessary to identify promising drug leads to combat global infectious diseases. Our project will uncover drugs to stop viruses belonging to the family Flaviviredae, including dengue, hepatitis C, West Nile and yellow fever viruses.
More than 40% of the world's population is at risk for infection by dengue viruses, and each year millions of people are treated for dengue fever and dengue hemorrhagic fever. Approximately 2% of the world's population is infected with hepatitis C virus. West Nile and yellow fever viruses also have significant global impact.
There are no drugs that effectively treat these diseases.
With your generous help, we can work together to perform the comprehensive drug discovery calculations that will rapidly point us towards cures for these serious worldwide diseases.
最近の平均功績(credits/day)7位 2,364.56 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 21位 Crunching Family 253,621.68 International 22位 Team 2ch 241,930.65 Japan ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ XtremLab http://xw01.lri.fr:4320/ ＿＿＿ ／´∀｀ ＼
2007/08/23 11:53:20|QMC@HOME|Task three_366_peptidsm.1804_0 exited with zero status but no 'finished' file 2007/08/23 11:53:20|QMC@HOME|If this happens repeatedly you may need to reset the project.
原文 Recent Significant Primes On August 7, 2007, PrimeGrid's servers returned a positive result in the Woodall Prime Search. It was the double check validating that a Woodall prime was found on August 4 2007 2013992*22013992-1 The prime is 606279 digits long and enters The Largest Known Primes Database (http://primes.utm.edu/primes/) ranked 1st for Woodall primes and 37th overall. The discovery was made by Lasse Mejling Andersen of Denmark using an Intel Celeron 2.80 GHz with 512 MB RAM. This machine took a little over 3 hours and 27 minutes to test using the LLR program. For more details, please see the official announcement. Decimal representation of the number is also available.
The FightAIDS@Home distributed computing project uses AutoDock for an initial virtual screen of HIV protease structures against a broad range of 1771 ligands including both known protease inhibitors and a diverse library of other ligands. The volume of results allows novel large-scale analyses of binding energy "profiles" for HIV structures. Beyond identifying potential lead compounds, these characterizations provide methods for choosing representative wild-type and mutant protein structures from the larger set. From the binding energy profiles of the PDB structures, a principal component analysis based analysis identifies seven "spanning" proteases. A complementary analysis finds that the wild-type protease structure 2BPZ best captures the central tendency of the protease set. Using a comparison of known protease inhibitors against the diverse ligand set yields an AutoDock binding energy "significance" threshold of -7.0 kcal/mol between significant, strongly binding ligands and other weak/nonspecific binding energies. This threshold captures nearly 98% of known inhibitor interactions while rejecting more than 95% of suspected noninhibitor interactions. These methods should be of general use in virtual screening projects and will be used to improve further FightAIDS@Home experiments.
栗で電圧1.35→1.15に変更して CPU温度5,6度下がって(ﾟДﾟ)ｳﾏｰ と思ったらBOINCのベンチが 1885 floating point MIPS (Whetstone) per CPU 3401 integer MIPS (Dhrystone) per CPU ↓ 1866 floating point MIPS (Whetstone) per CPU 2411 integer MIPS (Dhrystone) per CPU に下がって(ﾟ∀ﾟ ）ﾏｽﾞｰ