RE: Systems Biology Task Force Kick-Off - tomorrow (Feb 22) at 11AM EDT

All,

I was struck by the phrase 'turning biological knowledge into mathematical models' and wondering if anyone is interested to model 'epistemic information' in biology articles, added to the knowledge of the type that Oliver mentioned? 

In particular I am interested in modelling clauses such as 1 a., 2 a., 3 a., and 3.b in the sentences below - I have a model to classify these and would like to add this 'knowledge attribution' layer to existing representations of triples in papers.  

1 a. These studies have shown that
1.b. the 5' untranslated region (5'UTR) can be complex

vs. 

2. a. It has been reported that
2. b. 5' untranslated exons, and sometimes introns, can regulate the expression of genes in two different ways.

vs. 

3. a. Thus, our analysis revealed areas of active chromatin remodeling in the vicinity of exon 1
3. b. suggesting that
3. c. this area may be important for CCR3 transcription.

Is this part of the remit of this group and/or is anyone interested in collaborating on this topic? 

Thanks,
Best, 

- Anita.  

Anita de Waard
Disruptive Technologies Director, Elsevier Labs
http://elsatglabs.com/labs/anita/
a.dewaard@elsevier.com



-----Original Message-----
From: Oliver Ruebenacker [mailto:curoli@gmail.com]
Sent: Fri 2/24/2012 11:55
To: Helena Deus; public-semweb-lifesci
Subject: Re: Systems Biology Task Force Kick-Off - tomorrow (Feb 22) at 11AM EDT
 

     Hello Helena, All,

  I'm interested in joining the Systems Biology Taskforce. Sorry I
could not make the initial call. My interest is turning biological
knowledge into mathematical models, automatically. A brief description
is below.

  Thanks!

     Take care
     Oliver

  Living organisms are so enormously complex that we need computer
simulations to understand the consequences of their vast biochemical
reaction networks. As we uncover an increasing part of these networks,
our established knowledge is increasingly stored in free web databases
and available for query and download in machine-readable formats,
especially in the RDF/OWL-based community standard Biological Pathways
Exchange (BioPAX) [1]. The available data is massive and growing, e.g.
Pathway Commons [2] stores 1,700 pathways, 414 organisms, 440,000
interactions and 86,000 substances. This data is fully linked with
open controlled terminologies such as gene ontology (e.g. anatomical
features) [3] and other free online databases such as ChEBI
(chemicals) [4], KEGG (genes a.o.) [5], UniProt (proteins) [6] and
PubMed (publications) [7].

  Automatic use of this knowledge for computer simulations of
biological organisms has been an ongoing challenge [8,9,10]. Now,
Systems Biology Pathway Exchange (SBPAX) [11], a BioPAX extension,
allows the inclusion of quantitative data and systems biology terms,
especially the Systems Biology Ontology (SBO) [12]. SBPAX support has
been implemented by the Virtual Cell [13], Signaling Gateway Molecule
Pages [14] and System for the Analysis of Biochemical Pathways -
Reaction Kinetics (SABIO-RK) [15]. For the first time, a mathematical
model can be automatically built and fully annotated from a pathway of
interest.

  Citations:

  [1] Biological Pathway Exchange (BioPAX), www.biopax.org
  [2] Pathway Commons, www.pathwaycommons.org
  [3] Gene Ontology (GO), www.geneontology.org/
  [4] Chemical Entities of Biological Interest (ChEBI), www.ebi.ac.uk/chebi/
  [5] Kyoto Encyclopedia of Genes and Genomes (KEGG), wwww.genome.jp/kegg/
  [6] UniProt, www.uniprot.org
  [7] PubMed, www.ncbi.nlm.nih.gov/pubmed/
  [8] Modeling without Borders: Creating and Annotating VCell Models
Using the Web, Michael L. Blinov, Oliver Ruebenacker, James C. Schaff
and Ion I. Moraru,  Lecture Notes in Computer Science, 2010, Volume
6053 (2010).
  [9] Using views of Systems Biology Cloud: application for model
building, Oliver Ruebenacker, Michael Blinov, Theory in Biosciences,
Volume 130, Number 1, 45-54 (2010).
  [10] Integrating BioPAX pathway knowledge with SBML models, Michael
L Blinov, Oliver Ruebenacker, Ion I Moraru, IET Syst. Biol., 2009,
Vol. 3, Iss. 5, pp. 317-328 (2009).
  [11] Systems Biology Pathway Exchange (SBPAX), www.sbpax.org
  [12] Systems Biology Ontology, www.ebi.ac.uk/sbo/main/
  [13] Virtual Cell, http://vcell.org
  [14] Signaling Gateway Molecule Pages, www.signaling-gateway.org/molecule/
  [15] System for the Analysis of Biological Pathways - Reaction
Kinetics (SABIO-RK), http://sabio.villa-bosch.de/

On Tue, Feb 21, 2012 at 4:32 PM, Helena Deus <helenadeus@gmail.com> wrote:
> Dear All,
>
> Please join me tomorrow for the kick-off telco of the Systems Biology Task
> Force. Systems Biology is about looking at biological systems from an
> integrated perspective and to use that perspective to understand disease. We
> will be discussing the general goals, strategy and structure of the task
> force.
>
> Please see http://www.w3.org/wiki/HCLSIG/SysBio for an initial motivation,
> and description, of what this task will be focused on (with due flexibility
> according to participants input).
>
>
> * Date of Call: Tuesday February 21, 2012
> * Time of Call: 11:00am Eastern Daylight Time (EDT)
> * Dial-In #: +1.617.761.6200 (Cambridge, MA)
> * [Note: limited access to European dial in numbers below]
> * Dial-In #: +33.4.26.46.79.03 (Nice, France)
> * Dial-In #: +44.203.318.0479 (Bristol, UK)
> * Participant Access Code: 4257 ("HCLS").
> * IRC Channel: irc.w3.org port 6665 channel #HCLS
> For instant IRC access:
> see [http://www.w3.org/Project/IRC/ W3C IRC page] for details, or
> see [http://cgi.w3.org/member-bin/irc/irc.cgi Web IRC]), Quick Start: Click
> on
> [http://www.mibbit.com/chat/?server=irc.w3.org:6665&channel=%23hcls mibbit]
>
> * Duration: ~1h
> * Convener: Helena
> * Scribe: TBD
>
> Kind regards,
> Helena



-- 
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


Elsevier B.V. Registered Office: Radarweg 29, 1043 NX Amsterdam, The Netherlands, Registration No. 33156677 (The Netherlands)

Received on Friday, 24 February 2012 17:16:31 UTC