- From: Michel Dumontier <michel.dumontier@gmail.com>
- Date: Wed, 6 Feb 2013 11:15:43 -0500
- To: Matthias Samwald <matthias.samwald@meduniwien.ac.at>
- Cc: Richard Boyce <rdb20@pitt.edu>, public-semweb-lifesci@w3.org
- Message-ID: <CALcEXf5gb==pHaFyVwgYAJdzac1qLCSbueAvVoB9D4pfFs8qCg@mail.gmail.com>
During the call we discussed: - having a HCLS meeting at CSHALS during lunch on Friday March 1. - AMIA posters need to be ready by March 11 - BobF has one clinical guideline in RDF. includes RxNorm drug codes and PharmGKB identifiers - Rich's FDA list uses unique ingredient identifiers (unii), which are mapped to rxnorm, and others from there - Michel - to prioritize RxNorm RDFization and add to Bio2RDF - Michel - got scripts to generate dbSNP subset from BobF - next call in 2 weeks, will discuss published PGx ontology and corpus On Tue, Feb 5, 2013 at 3:14 PM, Matthias Samwald < matthias.samwald@meduniwien.ac.at> wrote: > ** > There is a Clinical Pharmacogenomics telecon scheduled for tomorrow, > Wednesday, 10:15 Eastern Time (remember that we decided to have the telecon > a bit earlier). I suggest that we use the teleconference to discuss this! > If you have other agenda items to suggest, please add them to the wiki > page. > > > http://www.w3.org/wiki/HCLSIG/Pharmacogenomics/Meetings/2013-02-06_Conference_Call > > Meeting: HCLS Pharmacogenomics > Date: February 06, 2013 > Time: 10:15 Eastern Time (16:15 Middle European Time) > Frequency: 1st and 3rd Wednesday of the month > Convener: Michel Dumontier, Matthias Samwald > Dial-In #: +1.617.761.6200 (Cambridge, MA) > VoIP address: sip:zakim@voip.w3.org > Participant Access Code: 4257 ("HCLS") > IRC Channel: irc.w3.org port 6665 channel #HCLS > > *Suggested Agenda* > > - PK Ontology > - Discussing a potential HCLS IG / task force meetup around CSHALS > 2013 in Boston this year > - (add other agenda items to the wiki page) > > Cheers, > Matthias > > > *From:* Richard Boyce <rdb20@pitt.edu> > *Sent:* Tuesday, February 05, 2013 8:34 PM > *To:* public-semweb-lifesci@w3.org > *Subject:* Re: PK Ontology > > 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><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-request@listhub.w3.org [ > mailto:public-semweb-lifesci-request@listhub.w3.org<public-semweb-lifesci-request@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 Pittsburghrdb20@pitt.edu > Office: 412-648-9219 > Twitter: @bhaapgh > > -- Michel Dumontier Associate Professor of Bioinformatics, Carleton University Chair, W3C Semantic Web for Health Care and the Life Sciences Interest Group http://dumontierlab.com
Received on Wednesday, 6 February 2013 16:16:37 UTC