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Paper Details

Drug target ontology to classify and integrate drug discovery data.
J Biomed Semantics
33
2017
DTO, DrugTargetOntology, Druggable Genome, GPCRs, IDG, binding site, druggable, druggable genome, drugtargetontology, gene
Author NameAffiliation
Yu LinCenter for Computational Science, University of Miami
Saurabh MehtaCenter for Computational Science, University of Miami
Saurabh MehtaDelhi Technological University
John TurnerMiller School of Medicine, University of Miami
Dušica VidoviĿCenter for Computational Science, University of Miami
Dušica VidoviĿMiller School of Medicine, University of Miami
Michele ForlinCenter for Computational Science, University of Miami
Michele ForlinMiller School of Medicine, University of Miami
Amar KoletiCenter for Computational Science, University of Miami
Dac-Trung NguyenNational Center for Advancing Translational Science
Lars Juhl JensenNovo Nordisk Foundation Center for Protein Research, University of Copenhagen
Lars Juhl JensenNovo Nordisk Foundation Center for Protein Research, University of Copenhagen
Rajarshi GuhaNational Center for Advancing Translational Science
Rajarshi GuhaNational Center for Advancing Translational Science
Stephen L MathiasUniversity of New Mexico School of Medicine
Oleg UrsuUniversity of New Mexico School of Medicine
Vasileios StathiasMiller School of Medicine, University of Miami
Caty ChungCenter for Computational Science, University of Miami
Christopher C MaderCenter for Computational Science, University of Miami
Jeremy J YangUniversity of New Mexico School of Medicine
Cristian G BologaUniversity of New Mexico School of Medicine
Cristian G BologaUniversity of New Mexico School of Medicine
Tudor I OpreaUniversity of New Mexico School of Medicine
Tudor I OpreaUniversity of New Mexico School of Medicine
Stephan C Sch??rerCenter for Computational Science, University of Miami
Stephan C Sch??rerMiller School of Medicine, University of Miami
Stephan C Sch??rerCenter for Computational Science, University of Miami
Stephan C Sch??rerMiller School of Medicine, University of Miami
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Datasets

PharosHeterogenous data on unstudied and understudied drug targetsLink
PharosHeterogenous data on unstudied and understudied drug targetsLink
PharosHeterogenous data on unstudied and understudied drug targetsLink
PharosHeterogenous data on unstudied and understudied drug targetsLink
PharosHeterogenous data on unstudied and understudied drug targetsLink
PharosHeterogenous data on unstudied and understudied drug targetsLink
PharosHeterogenous data on unstudied and understudied drug targetsLink
PharosHeterogenous data on unstudied and understudied drug targetsLink
PharosHeterogenous data on unstudied and understudied drug targetsLink
BioPortalBioPortal is the worldâ¿¿s most comprehensive, integrated knowledgebase of biomedical ontologies and controlled terminologies. BioPortal enables users to navigate, visualize, and leverage both individual ontologies and the collective knowledge suggested by its entire knowledgebase of more than 800 ontologies. It provides specialized tools that employ novel layouts and animation to offer cognitive support to users trying to understand the complexities of large ontologies within the confines of the two dimensions offered by a Web browser.Link
BioPortalBioPortal is the worldâ¿¿s most comprehensive, integrated knowledgebase of biomedical ontologies and controlled terminologies. BioPortal enables users to navigate, visualize, and leverage both individual ontologies and the collective knowledge suggested by its entire knowledgebase of more than 800 ontologies. It provides specialized tools that employ novel layouts and animation to offer cognitive support to users trying to understand the complexities of large ontologies within the confines of the two dimensions offered by a Web browser.Link
BioPortalBioPortal is the worldâ¿¿s most comprehensive, integrated knowledgebase of biomedical ontologies and controlled terminologies. BioPortal enables users to navigate, visualize, and leverage both individual ontologies and the collective knowledge suggested by its entire knowledgebase of more than 800 ontologies. It provides specialized tools that employ novel layouts and animation to offer cognitive support to users trying to understand the complexities of large ontologies within the confines of the two dimensions offered by a Web browser.Link
BioPortalBioPortal is the worldâ¿¿s most comprehensive, integrated knowledgebase of biomedical ontologies and controlled terminologies. BioPortal enables users to navigate, visualize, and leverage both individual ontologies and the collective knowledge suggested by its entire knowledgebase of more than 800 ontologies. It provides specialized tools that employ novel layouts and animation to offer cognitive support to users trying to understand the complexities of large ontologies within the confines of the two dimensions offered by a Web browser.Link
BioPortalBioPortal is the worldâ¿¿s most comprehensive, integrated knowledgebase of biomedical ontologies and controlled terminologies. BioPortal enables users to navigate, visualize, and leverage both individual ontologies and the collective knowledge suggested by its entire knowledgebase of more than 800 ontologies. It provides specialized tools that employ novel layouts and animation to offer cognitive support to users trying to understand the complexities of large ontologies within the confines of the two dimensions offered by a Web browser.Link
BioPortalBioPortal is the worldâ¿¿s most comprehensive, integrated knowledgebase of biomedical ontologies and controlled terminologies. BioPortal enables users to navigate, visualize, and leverage both individual ontologies and the collective knowledge suggested by its entire knowledgebase of more than 800 ontologies. It provides specialized tools that employ novel layouts and animation to offer cognitive support to users trying to understand the complexities of large ontologies within the confines of the two dimensions offered by a Web browser.Link