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Drug target ontology to classify and integrate drug discovery data.

Y. Lin, S. Mehta, H. Küçük-McGinty, J. Turner, D. Vidovic, M. Forlin, A. Koleti, D. Nguyen, L. Jensen, R. Guha, S. Mathias, O. Ursu, V. Stathias, J. Duan, N. Nabizadeh, C. Chung, C. Mader, U. Visser, J. Yang, C. Bologa, T. Oprea, and S. Schürer. J. Biomed. Semant., 8 (1): 50:1-50:16 (2017)

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Stephan Schürer

Cornelia-C Schürer

Sebastian Schürer

Harald Schürer

Tilo Schürer

Other publications of authors with the same name

GPCR ontology: development and application of a G protein-coupled receptor pharmacology knowledge framework.M. Przydzial, B. Bhhatarai, A. Koleti, U. Vempati, and S. Schürer. Bioinform., 29 (24): 3211-3219 (2013)Ontological representation, integration, and analysis of LINCS cell line cells and their cellular responses.E. Ong, J. Xie, Z. Ni, Q. Liu, S. Sarntivijai, Y. Lin, D. Cooper, R. Terryn, V. Stathias, C. Chung and 2 other author(s). BMC Bioinform., 18 (S-17): 43-53 (2017)SigCom LINCS: data and metadata search engine for a million gene expression signatures.J. Evangelista, D. Clarke, Z. Xie, A. Lachmann, M. Jeon, K. Chen, K. Jagodnik, S. Jenkins, M. Kuleshov, M. Wojciechowicz and 3 other author(s). Nucleic Acids Res., 50 (W1): 697-709 (2022)Data Portal for the Library of Integrated Network-based Cellular Signatures (LINCS) program: integrated access to diverse large-scale cellular perturbation response data.A. Koleti, R. Terryn, V. Stathias, C. Chung, D. Cooper, J. Turner, D. Vidovic, M. Forlin, T. Kelley, A. D'Urso and 19 other author(s). Nucleic Acids Res., 46 (Database-Issue): D558-D566 (2018)Pharos 2023: an integrated resource for the understudied human proteome.K. Kelleher, T. Sheils, S. Mathias, J. Yang, V. Metzger, V. Siramshetty, D. Nguyen, L. Jensen, D. Vidovic, S. Schürer and 7 other author(s). Nucleic Acids Res., 51 (D1): 1405-1416 (January 2023)CEDAR: Semantic Web Technology to Support Open Science.M. Musen, S. Sansone, K. Cheung, S. Kleinstein, M. Crafts, S. Schürer, and J. Graybeal. WWW (Companion Volume), page 427-428. ACM, (2018)Kinome-wide Activity Modeling from Diverse Public High-Quality Data Sets.S. Schürer, and S. Muskal. Journal of Chemical Information and Modeling, 53 (1): 27-38 (2013)CLO: The cell line ontology.S. Sarntivijai, Y. Lin, Z. Xiang, T. Meehan, A. Diehl, U. Vempati, S. Schürer, C. Pang, J. Malone, H. Parkinson and 15 other author(s). J. Biomed. Semant., (2014)TIN-X: target importance and novelty explorer.D. Cannon, J. Yang, S. Mathias, O. Ursu, S. Mani, A. Waller, S. Schürer, L. Jensen, L. Sklar, C. Bologa and 1 other author(s). Bioinform., 33 (16): 2601-2603 (2017)BioAssay Research Database (BARD): chemical biology and probe-development enabled by structured metadata and result types.E. Howe, A. de Souza, D. Lahr, S. Chatwin, P. Montgomery, B. Alexander, D. Nguyen, Y. Cruz, D. Stonich, G. Walzer and 20 other author(s). Nucleic Acids Res., 43 (Database-Issue): 1163-1170 (2015)

BibSonomy

Disambiguation of "Schürer, Stephan C."

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Drug target ontology to classify and integrate drug discovery data.

Please choose a person to relate this publication to

Stephan Schürer

Cornelia-C Schürer

Sebastian Schürer

Harald Schürer

Tilo Schürer

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Schürer, Stephan C."

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Drug target ontology to classify and integrate drug discovery data.

Please choose a person to relate this publication to

Stephan Schürer

Cornelia-C Schürer

Sebastian Schürer

Harald Schürer

Tilo Schürer

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
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APA
Chicago
DIN 1505
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MSOffice XML

Drug target ontology to classify and integrate drug discovery data.