GeneComps and ChemComps: a new CTD metric to identify genes and chemicals with shared toxicogenomic profiles

被引:11
作者
Davis, Allan Peter [1 ]
Murphy, Cynthia G. [1 ]
Saraceni-Richards, Cynthia A. [1 ]
Rosenstein, Michael C. [1 ]
Wiegers, Thomas C. [1 ]
Hampton, Thomas H. [2 ]
Mattingly, Carolyn J. [1 ]
机构
[1] Mt Desert Isl Biol Lab, Dept Bioinformat, Salsbury Cove, ME 04672 USA
[2] Dartmouth Med Sch, Ctr Environm Hlth Sci, Hanover, NH 03755 USA
基金
美国国家卫生研究院;
关键词
gene; chemical; toxicogenomic; database; curation;
D O I
10.6026/97320630004173
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
The Comparative Toxicogenomics Database is a public resource that promotes understanding about the effects of environmental chemicals on human health. Currently, CTD describes over 184,000 molecular interactions for more than 5,100 chemicals and 16,300 genes/proteins. We have leveraged this dataset of chemical-gene relationships to compute similarity indices following the statistical method of the Jaccard index. These scores are used to produce lists of comparable genes ("GeneComps") or chemicals ("ChemComps") based on shared toxicogenomic profiles. GeneComps and ChemComps are now provided for every curated gene and chemical in CTD. ChemComps are particularly significant because they provide a way to group chemicals based upon their biological effects, instead of their physical or structural properties. These metrics provide a novel way to view and classify genes and chemicals and will help advance testable hypotheses about environmental chemical-genedisease networks.
引用
收藏
页码:173 / 174
页数:2
相关论文
共 8 条
  • [1] Gene Ontology: tool for the unification of biology
    Ashburner, M
    Ball, CA
    Blake, JA
    Botstein, D
    Butler, H
    Cherry, JM
    Davis, AP
    Dolinski, K
    Dwight, SS
    Eppig, JT
    Harris, MA
    Hill, DP
    Issel-Tarver, L
    Kasarskis, A
    Lewis, S
    Matese, JC
    Richardson, JE
    Ringwald, M
    Rubin, GM
    Sherlock, G
    [J]. NATURE GENETICS, 2000, 25 (01) : 25 - 29
  • [2] The Comparative Toxicogenomics Database facilitates identification and understanding of chemical-gene-disease associations: arsenic as a case study
    Davis, Allan P.
    Murphy, Cynthia G.
    Rosenstein, Michael C.
    Wiegers, Thomas C.
    Mattingly, Carolyn J.
    [J]. BMC MEDICAL GENOMICS, 2008, 1 (1)
  • [3] Comparative Toxicogenomics Database: a knowledgebase and discovery tool for chemical-gene-disease networks
    Davis, Allan Peter
    Murphy, Cynthia G.
    Saraceni-Richards, Cynthia A.
    Rosenstein, Michael C.
    Wiegers, Thomas C.
    Mattingly, Carolyn J.
    [J]. NUCLEIC ACIDS RESEARCH, 2009, 37 : D786 - D792
  • [4] ChEBI:: a database and ontology for chemical entities of biological interest
    Degtyarenko, Kirill
    de Matos, Paula
    Ennis, Marcus
    Hastings, Janna
    Zbinden, Martin
    McNaught, Alan
    Alcantara, Rafael
    Darsow, Michael
    Guedj, Mickael
    Ashburner, Michael
    [J]. NUCLEIC ACIDS RESEARCH, 2008, 36 : D344 - D350
  • [5] Innovation - The Connectivity Map: a new tool for biomedical research
    Lamb, Justin
    [J]. NATURE REVIEWS CANCER, 2007, 7 (01) : 54 - 60
  • [6] The Comparative Toxicogenomics Database: A cross-species resource for building chemical-gene interaction networks
    Mattingly, Carolyn J.
    Rosenstein, Michael C.
    Davis, Allan Peter
    Colby, Glenn T.
    Forrest, John N., Jr.
    Boyer, James L.
    [J]. TOXICOLOGICAL SCIENCES, 2006, 92 (02) : 587 - 595
  • [7] Why do we need so many chemical similarity search methods?
    Sheridan, RP
    Kearsley, SK
    [J]. DRUG DISCOVERY TODAY, 2002, 7 (17) : 903 - 911
  • [8] Toward a Public Toxicogenomics Capability for Supporting Predictive Toxicology: Survey of Current Resources and Chemical Indexing of Experiments in GEO and ArrayExpress
    Williams-Devane, ClarLynda R.
    Wolf, Maritja A.
    Richard, Ann M.
    [J]. TOXICOLOGICAL SCIENCES, 2009, 109 (02) : 358 - 371