Hi all,

I think we have been challenged by the Unilever Cambridge Center for
Molecular Informatics, Dr Jonathan Goodman, Prof Robert Glen and Dr
Antonio LlinĂ s [0].

The challenge not just us, but any data modeler, by asking us to
predict the solubility of 32 compounds, based on a computational model
we can train against 100 knowns. Now, in my experience 100 is a bit on
the low side, but at least higher than the bare limit to get low
enough statistics to distinguish prediction models. Or, in other
words, we barely can make a choice of a best model. But just enough to
pick up the challenge I assume.

Now, any one can make a reasonable model... the real challenge to me
is to make a reproducable model, a model that anyone in the world can
build themselves. So, with Blue Obelisk components (or other
opensource tools).

I'd like to invite and suggest that the Blue Obelisk community will
jointly, in an Open Science approach, pick up this challenge, and show
the power of ODOSOS, Open Source, Open Data (provided by the JCIM
paper), and Open Standards (so, that every community member can focus
in a particular bit of the whole process!) to the remaining closed
source chemoinformaticians (and cheminformaticians too :).

Wendy Warr mentions on [chemweb] a five letter contestant code, and
ODOSOS does not fit, so how about BLUEO ?

I have set up a wiki page, SVN will follow (down for maintainance):

http://blueobelisk.sourceforge.net/wiki/BLUEO

Any contribution counts, and the wiki page has some suggestions how
you may contribute. It does not have to be in the Open Source side...
there is plenty to do on the Open Data and Open Standards side too.
It's a community approach, and the only contribution restriction is
that it has to be ODOSOS.

Let's get started!

More details and the data can be found at [1].

Egon

0.http://dx.doi.org/10.1021/ci800058v
1.http://www-jmg.ch.cam.ac.uk/data/solubility/

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