- From: Oliver Ruebenacker <curoli@gmail.com>
- Date: Tue, 12 Jun 2012 12:18:47 -0400
- To: "Lin MD, Simon" <LINMD.SIMON@mcrf.mfldclin.edu>
- Cc: Joanne Luciano <jluciano@gmail.com>, public-semweb-lifesci hcls <public-semweb-lifesci@w3.org>
Hello
On Tue, Jun 12, 2012 at 11:49 AM, Lin MD, Simon
<LINMD.SIMON@mcrf.mfldclin.edu> wrote:
> Hi Joanne,
>
> Thank you for sharing this topic with the group! For discussion, I am attaching the manuscript and a related review article.
Yes, thanks for sharing, very interesting!
> Generally, the prediction models work well in this problem domain (-- If not, the discipline of medicinal chemistry would not exist).
>
> The bottleneck is the availability of large scale data: chemical structure, drug target, protein-protein interaction, indications, know side effects, etc.
Hopefully, in the future, we will be able to simulate, for a given
chemical structure:
- which proteins (or other bio-molecules) it interacts with
- how that interaction changes the function of the bio-molecule
- how changed function of molecules change biological networks and
systemic function
However, what the article says sounds more limited:
"... a database of 73 proteins ..."
> As such, Open Linked Data might offer help!
Eventually.
Take care
Oliver
--
Oliver Ruebenacker
Bioinformatics Consultant (http://www.knowomics.com/wiki/Oliver_Ruebenacker)
Knowomics, The Bioinformatics Network (http://www.knowomics.com)
SBPAX: Turning Bio Knowledge into Math Models (http://www.sbpax.org)
Received on Tuesday, 12 June 2012 16:19:20 UTC