Re: Evidence of Significance of Semantic Web for Life Sciences

Hi Oliver,

Related example:
http://www.sciencenews.org/view/generic/id/337088/title/Network_analysis_predicts_drug_side_effects?utm_medium=referral&utm_source=pulsenews

“To clear some of the haze surrounding side effects, scientists from
Harvard Medical School and Children’s Hospital Boston created a network
linking 809 medications to 852 side effects that were known as of 2005. The
team also added information to their network on chemical properties, such
as the drug’s melting point and molecular weight, and where the drug does
its stuff in the body. Using these data and relationships alone, the
computer predicted side effects that were reported in later years, such as
the seizure drug zonisamide causing suicidal thoughts in some people and
the antibiotic norfloxacin’s link to ruptured tendons. It also linked the
controversial diabetes drug Avandia (rosiglitazone) to heart attacks, a
connection that is supported by some research.”


Although this was not achieved using the LODD cloud or semantic web
technologies, it illustrates the same type of network analysis that we are
trying to enable for linked life sciences and health care data.

Best,
Lena

On Wed, Dec 21, 2011 at 4:39 PM, Oliver Ruebenacker <curoli@gmail.com>wrote:

>     Hello,
>
>  I am looking for evidence I can quote to convince non-experts of the
> significance of applying Semantic Web to biomedical research,
> especially computational cell biology.
>
>  I need a recorded public statement from a source recognizable as
> authoritative to a non-expert: e.g. could be from a relevant
> government agency, a well-known research institution (including major
> grad schools and companies), a well-known (i.e. well-known outside the
> field) expert, some one where a brief look at the biography
> immediately suggests he or she is an authority, some one quoted in
> major media, etc.
>
>  Significance could mean abstract things like advancing science and
> health care, but even better would be tangible things like: saves
> lives, saves money, cures cancer/malaria/AIDS, creates jobs, etc.
>
>  Thanks a lot!
>
>     Take care
>     Oliver
>
> --
> Oliver Ruebenacker, Computational Cell Biologist
> Virtual Cell (http://vcell.org)
> SBPAX: Turning Bio Knowledge into Math Models (http://www.sbpax.org)
> http://www.oliver.curiousworld.org
>
>


-- 
Helena F. Deus
Post-Doctoral Researcher at DERI/NUIG
http://lenadeus.info/