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Re: Evidence of Significance of Semantic Web for Life Sciences

From: Richard Boyce <rdb20@pitt.edu>
Date: Thu, 22 Dec 2011 09:10:14 -0500
Message-ID: <4EF33A46.5030706@pitt.edu>
To: <public-semweb-lifesci@w3.org>
NCRR statement: 
http://www.ncrr.nih.gov/publications/ncrr_reporter/winter-spring2011/leveraging.asp

Also, NIH reporter lists 15 funded grants using SW: 
http://projectreporter.nih.gov/reporter_searchresults.cfm

-Rich



On 12/22/2011 08:19 AM, Helena Deus wrote:
> That's a good point.
> But my argument, and borrowing Jeff Bezos words (when he introduced 
> amazon cloud technologies to the world), is that "Semantic web 
> technologies does the muck so that physicians and life sciences 
> researchers don't have to"!
>
>
> On Thu, Dec 22, 2011 at 1:12 PM, Matthias Samwald 
> <matthias.samwald@meduniwien.ac.at 
> <mailto:matthias.samwald@meduniwien.ac.at>> wrote:
>
>     Hi Lena,
>
>     "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. "
>     Then it is a problematic example -- after all this could also be
>     interpreted as an illustration of how such things can be achieved
>     without SW technologies!
>      - Matthias
>
>     *From:* Helena Deus <mailto:helenadeus@gmail.com>
>     *Sent:* Thursday, December 22, 2011 1:16 PM
>     *To:* Oliver Ruebenacker <mailto:curoli@gmail.com>
>     *Cc:* public-semweb-lifesci <mailto:public-semweb-lifesci@w3.org>
>     *Subject:* 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
>     <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 <mailto: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/
>
>
>
>
> -- 
> Helena F. Deus
> Post-Doctoral Researcher at DERI/NUIG
> http://lenadeus.info/
>


-- 
Richard Boyce, PhD
Assistant Professor of Biomedical Informatics
Scholar, Comparative Effectiveness Research Program
University of Pittsburgh
rdb20@pitt.edu
412-648-6768
Received on Thursday, 22 December 2011 14:10:53 UTC

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