发送时间：2008年2月8日 3:11:07

Dear Proteins@Home participants,

I wish you a happy and successful New Year!    <----话说他们知道我们在过节的麽？

In the period before the summer, more than 15,000
volunteers participated in the Proteins@Home project.
I would like to thank all of you for your overwhelming
support. My warm thanks also go to the BOINC development
and testing community.

Thanks to you, we were able to make significant scientific
contributions to the protein folding problem and to protein
structure prediction methods. Our first publications are
just becoming available: see, eg,
http://www3.interscience.wiley.com/cgi-bin/abstract/117860966/ABSTRACT
A book on distributed computing will also appear in 2008,
with a chapter describing Proteins@Home:
Distributed & Grid Computing -- Science Made Transparent
for Everyone. Principles, Applications and Supporting
Communities, Tektum Publishers, Berlin.

In the last few months, thanks to the Proteins@Home
results, we have considerably improved our prediction
method and are beginning to apply it to specific protein
families such as the Src homology domains and so-called
WW domains. This will help us identify new members of
these families and understand the function of newly-
discovered genes. More information is in the attached
report.

With our improved methodology in place, we are ready
for a new computation phase. We hope that you will
participate in this new phase.

Best wishes,

Thomas Simonson
head of the Proteins@Home project

[ 本帖最后由 Julian_Yuen 于 2008-2-9 20:06 编辑 ]

Proteins@Home...
有过加入的意向[都建立了帐号了],但因为R@H算得High,所以就没算.

我刚刚才发现收到这封电邮，还想发上来～没想到晚了。

项目应该还没结束吧？只是说找到了新的预测方法和帮助了他们认识某一种蛋白质家族，和要出书的消息吧……

很多专业名词看不大懂。

Proteins@Home 继续了，现在WU的大小变化不大，Athlon X2 3800 约需要50min

ORZ...才50min?
有点想算P@H了.

不不,还是Rosetta吧!

Rosetta先算到100万积分，再说别的项目！！

http://biology.polytechnique.fr/ ... ts.php?hostid=31791

得分效率 0.003183/s  （别人的电脑，就设了50%的上限）
相同cpu的平均效率 0.002819/s

PS：riesel sieve 也不差哈，0.0074451/s，而且这是标准的wu，sweet wu也有分发的~

对于大部分分布式志愿者来说，这就是最好的报答了~文章里的一段话

Acknowledgments

The authors thank the many volunteers who have participated in
the Proteins at Home project and contributed computer cycles used
in this work. We thank the BOINC development community for
testing the alpha version of the Proteins at Home platform. They
thank Christine Bathelt, Alexey Aleksandrov, and Najette Amara
for discussions.

虽然我没算过

文章发表在Journal of Computational Chemistry上，计算化学领域的专业杂志

[ 本帖最后由 feynord 于 2008-2-19 23:32 编辑 ]