This is relevant, thanks for finding Bob. Lang Li's group has been doing some interesting work. This ontology is a start in the right direction but has some issues (see below). I would certainly be interested in discussing this and related work on a call. As you know, I would like to lead an effort to build a DDI ontology for the semantic web that meets pharmacist use cases.

Comments:
- The ontology uses almost no formal definitions except for those imported.

- It is inconsistent according to Hermit 1.3.6 and Fact++ (Protege 4.2)

- a quick inspection finds evidence that formal relationships are not being used e.g., why are CYP probe inhibitors and inducers sub-classes of specific CYP families? As it is, Omeprazole is_a CYP1A2-inducer-probe is_a CYP1A2 is_a Metabolism-enzyme!? Seems this should be a relationship between a set of a drug/chemicals as the domain and a CYP family as the range.

- The enzymes themselves are not mapped to anything!

- Its good to see muon's and positrons in there just in case... ;)

- variants come from the Sequence ontology

- the paper refers to a 2006 guidance to industry on drug-drug interaction studies for probe inhibitors, inducers, and substrates (see page 7 URL). This was updated in 2012 (http://www.fda.gov/downloads/Drugs/GuidanceComplianceRegulatoryInformation/Guidances/ucm292362.pdf) and its not clear if the ontology has been updated with it (I know that I need to update the Drug Interaction Knowledge Base).

- There are at least two other DDI corpuses out there besides Li's and the SemEval 2011. SemEval 2013 has a new corpus with MedLine and DrugBank annotations that will be publicly released in a couple of months when this years' the SemEval DDI challenge is completed (http://www.cs.york.ac.uk/semeval-2013/task9/). Also, we have made public a corpus of pharmacokinetic PDDIs manually annotated from drug product labeling: <http://dbmi-icode-01.dbmi.pitt.edu/dikb-evidence/package-insert-DDI-NLP-corpus.html>.

-Rich

On 02/05/2013 12:04 PM, Freimuth, Robert, Ph.D. wrote:
URLs to save you time...
The article abstract and provisional pdf are available at:
http://www.biomedcentral.com/1471-2105/14/35/abstract
The ontology is at:
http://rweb.compbio.iupui.edu/corpus/ontology/
The PK corpuses that were used are at:
http://rweb.compbio.iupui.edu/corpus/

Thanks,
Bob


    ------------------------------------------------------------------------
    *From:* public-semweb-lifesci-requ...@listhub.w3.org
    [mailto:public-semweb-lifesci-requ...@listhub.w3.org] *On Behalf
    Of *Freimuth, Robert, Ph.D.
    *Sent:* Tuesday, February 05, 2013 10:20 AM
    *To:* public-semweb-lifesci@w3.org
    *Subject:* PK Ontology

    Hi All,
    I haven't read this yet, but thought the abstract sounded
    interesting.  Perhaps it is a topic for a future meeting?
    Thanks,
    Bob
    _BMC Bioinformatics._
    <http://www.ncbi.nlm.nih.gov/pubmed/23374886#> 2013 Feb
    1;14(1):35. [Epub ahead of print]
    *An integrated pharmacokinetics ontology and corpus for text mining.*
    _Wu HY_
    
<http://www.ncbi.nlm.nih.gov/pubmed?term=Wu%20HY%5BAuthor%5D&cauthor=true&cauthor_uid=23374886>,
    _Karnik S_
    
<http://www.ncbi.nlm.nih.gov/pubmed?term=Karnik%20S%5BAuthor%5D&cauthor=true&cauthor_uid=23374886>,
    _Subhadarshini A_
    
<http://www.ncbi..nlm.nih.gov/pubmed?term=Subhadarshini%20A%5BAuthor%5D&cauthor=true&cauthor_uid=23374886>,
    _Wang Z_
    
<http://www..ncbi.nlm.nih.gov/pubmed?term=Wang%20Z%5BAuthor%5D&cauthor=true&cauthor_uid=23374886>,
    _Philips S_
    
<http://www.ncbi.nlm.nih.gov/pubmed?term=Philips%20S%5BAuthor%5D&cauthor=true&cauthor_uid=23374886>,
    _Han X_
    
<http://www.ncbi.nlm.nih.gov/pubmed?term=Han%20X%5BAuthor%5D&cauthor=true&cauthor_uid=23374886>,
    _Chiang C_
    
<http://www.ncbi.nlm.nih.gov/pubmed?term=Chiang%20C%5BAuthor%5D&cauthor=true&cauthor_uid=23374886>,
    _Liu L_
    
<http://www.ncbi..nlm.nih.gov/pubmed?term=Liu%20L%5BAuthor%5D&cauthor=true&cauthor_uid=23374886>,
    _Boustani M_
    
<http://www.ncbi.nlm.nih.gov/pubmed?term=Boustani%20M%5BAuthor%5D&cauthor=true&cauthor_uid=23374886>,
    _Rocha LM_
    
<http://www.ncbi.nlm.nih.gov/pubmed?term=Rocha%20LM%5BAuthor%5D&cauthor=true&cauthor_uid=23374886>,
    _Quinney SK_
    
<http://www.ncbi..nlm.nih.gov/pubmed?term=Quinney%20SK%5BAuthor%5D&cauthor=true&cauthor_uid=23374886>,
    _Flockhart D_
    
<http://www.ncbi.nlm..nih.gov/pubmed?term=Flockhart%20D%5BAuthor%5D&cauthor=true&cauthor_uid=23374886>,
    _Li L_
    
<http://www.ncbi.nlm.nih.gov/pubmed?term=Li%20L%5BAuthor%5D&cauthor=true&cauthor_uid=23374886>.
    *Abstract*
    ABSTRACT: BACKGROUND: Drug pharmacokinetics parameters, drug
    interaction parameters, and pharmacogenetics data have been
    unevenly collected in different databases and published
    extensively in the literature. Without appropriate
    pharmacokinetics ontology and a well annotated pharmacokinetics
    corpus, it will be difficult to develop text mining tools for
    pharmacokinetics data collection from the literature and
    pharmacokinetics data integration from multiple
    databases.Description: A comprehensive pharmacokinetics ontology
    was constructed. It can annotate all aspects of in vitro
    pharmacokinetics experiments and in vivo pharmacokinetics studies.
    It covers all drug metabolism and transportation enzymes. Using
    our pharmacokinetics ontology, a PK-corpus was constructed to
    present four classes of pharmacokinetics abstracts: in vivo
    pharmacokinetics studies, in vivo pharmacogenetic studies, in vivo
    drug interaction studies, and in vitro drug interaction studies. A
    novel hierarchical three level annotation scheme was proposed and
    implemented to tag key terms, drug interaction sentences, and drug
    interaction pairs. The utility of the pharmacokinetics ontology
    was demonstrated by annotating three pharmacokinetics studies; and
    the utility of the PK-corpus was demonstrated by a drug
    interaction extraction text mining analysis. CONCLUSIONS: The
    pharmacokinetics ontology annotates both in vitro pharmacokinetics
    experiments and in vivo pharmacokinetics studies. The PK-corpus is
    a highly valuable resource for the text mining of pharmacokinetics
    parameters and drug interactions.



--
Richard D Boyce, PhD
Assistant Professor of Biomedical Informatics
Faculty, Geriatric Pharmaceutical Outcomes and Gero-Informatics Research and 
Training Program
Scholar, Comparative Effectiveness Research Program
University of Pittsburgh
rd...@pitt.edu
Office: 412-648-9219
Twitter: @bhaapgh

Reply via email to