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Items: 10

1.

Linked Registries: Connecting Rare Diseases Patient Registries through a Semantic Web Layer.

Sernadela P, González-Castro L, Carta C, van der Horst E, Lopes P, Kaliyaperumal R, Thompson M, Thompson R, Queralt-Rosinach N, Lopez E, Wood L, Robertson A, Lamanna C, Gilling M, Orth M, Merino-Martinez R, Posada M, Taruscio D, Lochmüller H, Robinson P, Roos M, Oliveira JL.

Biomed Res Int. 2017;2017:8327980. doi: 10.1155/2017/8327980. Epub 2017 Oct 29.

2.

Neuro-symbolic representation learning on biological knowledge graphs.

Alshahrani M, Khan MA, Maddouri O, Kinjo AR, Queralt-Rosinach N, Hoehndorf R.

Bioinformatics. 2017 Sep 1;33(17):2723-2730. doi: 10.1093/bioinformatics/btx275.

3.

DisGeNET: a comprehensive platform integrating information on human disease-associated genes and variants.

Piñero J, Bravo À, Queralt-Rosinach N, Gutiérrez-Sacristán A, Deu-Pons J, Centeno E, García-García J, Sanz F, Furlong LI.

Nucleic Acids Res. 2017 Jan 4;45(D1):D833-D839. doi: 10.1093/nar/gkw943. Epub 2016 Oct 19.

4.

Open PHACTS computational protocols for in silico target validation of cellular phenotypic screens: knowing the knowns.

Digles D, Zdrazil B, Neefs JM, Van Vlijmen H, Herhaus C, Caracoti A, Brea J, Roibás B, Loza MI, Queralt-Rosinach N, Furlong LI, Gaulton A, Bartek L, Senger S, Chichester C, Engkvist O, Evelo CT, Franklin NI, Marren D, Ecker GF, Jacoby E.

Medchemcomm. 2016 Jun 1;7(6):1237-1244. Epub 2016 May 11.

5.

DisGeNET-RDF: harnessing the innovative power of the Semantic Web to explore the genetic basis of diseases.

Queralt-Rosinach N, Piñero J, Bravo À, Sanz F, Furlong LI.

Bioinformatics. 2016 Jul 15;32(14):2236-8. doi: 10.1093/bioinformatics/btw214. Epub 2016 Apr 22.

6.

Extraction of relations between genes and diseases from text and large-scale data analysis: implications for translational research.

Bravo À, Piñero J, Queralt-Rosinach N, Rautschka M, Furlong LI.

BMC Bioinformatics. 2015 Feb 21;16:55. doi: 10.1186/s12859-015-0472-9.

7.

DisGeNET: a discovery platform for the dynamical exploration of human diseases and their genes.

Piñero J, Queralt-Rosinach N, Bravo À, Deu-Pons J, Bauer-Mehren A, Baron M, Sanz F, Furlong LI.

Database (Oxford). 2015 Apr 15;2015:bav028. doi: 10.1093/database/bav028. Print 2015.

8.

A knowledge-driven approach to extract disease-related biomarkers from the literature.

Bravo À, Cases M, Queralt-Rosinach N, Sanz F, Furlong LI.

Biomed Res Int. 2014;2014:253128. doi: 10.1155/2014/253128. Epub 2014 Apr 16. Review.

9.

The Semanticscience Integrated Ontology (SIO) for biomedical research and knowledge discovery.

Dumontier M, Baker CJ, Baran J, Callahan A, Chepelev L, Cruz-Toledo J, Del Rio NR, Duck G, Furlong LI, Keath N, Klassen D, McCusker JP, Queralt-Rosinach N, Samwald M, Villanueva-Rosales N, Wilkinson MD, Hoehndorf R.

J Biomed Semantics. 2014 Mar 6;5(1):14. doi: 10.1186/2041-1480-5-14.

10.

A canonical cation-π interaction stabilizes the agonist conformation of estrogen-like nuclear receptors.

Queralt-Rosinach N, Mestres J.

Eur Biophys J. 2010 Oct;39(11):1471-5. doi: 10.1007/s00249-010-0602-2. Epub 2010 Apr 3.

PMID:
20364341

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