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Items: 1 to 20 of 99

1.

The Text-mining based PubChem Bioassay neighboring analysis.

Han L, Suzek TO, Wang Y, Bryant SH.

BMC Bioinformatics. 2010 Nov 8;11:549. doi: 10.1186/1471-2105-11-549.

2.

PubChem's BioAssay Database.

Wang Y, Xiao J, Suzek TO, Zhang J, Wang J, Zhou Z, Han L, Karapetyan K, Dracheva S, Shoemaker BA, Bolton E, Gindulyte A, Bryant SH.

Nucleic Acids Res. 2012 Jan;40(Database issue):D400-12. doi: 10.1093/nar/gkr1132. Epub 2011 Dec 2.

3.

Using the BioAssay Ontology for analyzing high-throughput screening data.

Zander Balderud L, Murray D, Larsson N, Vempati U, Schürer SC, Bjäreland M, Engkvist O.

J Biomol Screen. 2015 Mar;20(3):402-15. doi: 10.1177/1087057114563493. Epub 2014 Dec 15.

PMID:
25512330
4.

An overview of the PubChem BioAssay resource.

Wang Y, Bolton E, Dracheva S, Karapetyan K, Shoemaker BA, Suzek TO, Wang J, Xiao J, Zhang J, Bryant SH.

Nucleic Acids Res. 2010 Jan;38(Database issue):D255-66. doi: 10.1093/nar/gkp965. Epub 2009 Nov 19.

5.

PubChem BioAssay: 2014 update.

Wang Y, Suzek T, Zhang J, Wang J, He S, Cheng T, Shoemaker BA, Gindulyte A, Bryant SH.

Nucleic Acids Res. 2014 Jan;42(Database issue):D1075-82. doi: 10.1093/nar/gkt978. Epub 2013 Nov 5.

6.
7.

Big data in chemical toxicity research: the use of high-throughput screening assays to identify potential toxicants.

Zhu H, Zhang J, Kim MT, Boison A, Sedykh A, Moran K.

Chem Res Toxicol. 2014 Oct 20;27(10):1643-51. doi: 10.1021/tx500145h. Epub 2014 Sep 16. Review.

8.

Investigating the correlations among the chemical structures, bioactivity profiles and molecular targets of small molecules.

Cheng T, Wang Y, Bryant SH.

Bioinformatics. 2010 Nov 15;26(22):2881-8. doi: 10.1093/bioinformatics/btq550. Epub 2010 Oct 13.

9.

Computational polypharmacology with text mining and ontologies.

Plake C, Schroeder M.

Curr Pharm Biotechnol. 2011 Mar 1;12(3):449-57. Review.

PMID:
21133848
10.

Public Domain HTS Fingerprints: Design and Evaluation of Compound Bioactivity Profiles from PubChem's Bioassay Repository.

Helal KY, Maciejewski M, Gregori-Puigjané E, Glick M, Wassermann AM.

J Chem Inf Model. 2016 Feb 22;56(2):390-8. doi: 10.1021/acs.jcim.5b00498. Epub 2016 Jan 14.

PMID:
26898267
11.

GPU accelerated support vector machines for mining high-throughput screening data.

Liao Q, Wang J, Webster Y, Watson IA.

J Chem Inf Model. 2009 Dec;49(12):2718-25. doi: 10.1021/ci900337f.

PMID:
19961205
12.

PubChem BioAssay: A Decade's Development toward Open High-Throughput Screening Data Sharing.

Wang Y, Cheng T, Bryant SH.

SLAS Discov. 2017 Jul;22(6):655-666. doi: 10.1177/2472555216685069. Epub 2017 Jan 13.

13.

BioAssay ontology annotations facilitate cross-analysis of diverse high-throughput screening data sets.

Schürer SC, Vempati U, Smith R, Southern M, Lemmon V.

J Biomol Screen. 2011 Apr;16(4):415-26. doi: 10.1177/1087057111400191.

14.

Similar compounds versus similar conformers: complementarity between PubChem 2-D and 3-D neighboring sets.

Kim S, Bolton EE, Bryant SH.

J Cheminform. 2016 Nov 4;8:62. eCollection 2016.

15.

A novel method for mining highly imbalanced high-throughput screening data in PubChem.

Li Q, Wang Y, Bryant SH.

Bioinformatics. 2009 Dec 15;25(24):3310-6. doi: 10.1093/bioinformatics/btp589. Epub 2009 Oct 13.

16.

Database citation in full text biomedical articles.

Kafkas Ş, Kim JH, McEntyre JR.

PLoS One. 2013 May 29;8(5):e63184. doi: 10.1371/journal.pone.0063184. Print 2013.

17.

Formalization, annotation and analysis of diverse drug and probe screening assay datasets using the BioAssay Ontology (BAO).

Vempati UD, Przydzial MJ, Chung C, Abeyruwan S, Mir A, Sakurai K, Visser U, Lemmon VP, Schürer SC.

PLoS One. 2012;7(11):e49198. doi: 10.1371/journal.pone.0049198. Epub 2012 Nov 14.

18.

Profiling animal toxicants by automatically mining public bioassay data: a big data approach for computational toxicology.

Zhang J, Hsieh JH, Zhu H.

PLoS One. 2014 Jun 20;9(6):e99863. doi: 10.1371/journal.pone.0099863. eCollection 2014.

19.

Text mining in livestock animal science: introducing the potential of text mining to animal sciences.

Sahadevan S, Hofmann-Apitius M, Schellander K, Tesfaye D, Fluck J, Friedrich CM.

J Anim Sci. 2012 Oct;90(10):3666-76. doi: 10.2527/jas.2011-4841. Epub 2012 Jun 4.

20.

BioAssay Ontology (BAO): a semantic description of bioassays and high-throughput screening results.

Visser U, Abeyruwan S, Vempati U, Smith RP, Lemmon V, Schürer SC.

BMC Bioinformatics. 2011 Jun 24;12:257. doi: 10.1186/1471-2105-12-257.

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