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Experimental and theoretical study of the movement of the wpd flexible loop of human protein tyrosine phosphatase PTP1B in complex with halide ions
Computational Chemistry and Biology Group, DETEMA, URY.
Computational Chemistry and Biology Group, DETEMA, URY; Universidad de la Republic, URY.ORCID iD: 0000-0002-6711-4972
Computational Chemistry and Biology Group, DETEMA, URY.
Computational Chemistry and Biology Group, DETEMA, URY.
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2012 (English)In: Biophysical Reviews and Letters, Vol. 7, no 3-4, p. 197-217Article in journal (Refereed) Published
Abstract [en]

Protein tyrosine phosphorylation is a post-translational modification mechanism, crucial for the regulation of nearly all aspects of cell life. This dynamic, reversible process is regulated by the balanced opposing activity of protein tyrosine kinases and protein tyrosine phosphatases. In particular, the protein tyrosine phosphatase 1B (PTP1B) is implicated in the regulation of the insulin-receptor activity, leptin-stimulated signal transduction pathways and other clinically relevant metabolic routes, and it has been found overexpressed or overregulated in human breasts, colon and ovary cancers. The WPD loop of the enzyme presents an inherent flexibility, and it plays a fundamental role in the enzymatic catalysis, turning it into a potential target in the design of new efficient PTP1B inhibitors. In order to determine the interactions that control the spatial conformation adopted by the WPD loop, complexes between the enzyme and halide ions (Br- and I- in particular) were crystallized and their crystallographic structure determined, and the collective movements of the aforementioned complexes were studied through Molecular Dynamics (MD) simulations. Both studies yielded concordant results, indicating the existence of a relationship between the identity of the ion present in the complex and the strength of the interactions it establishes with the surrounding protein residues. © 2012 World Scientific Publishing Company.

Place, publisher, year, edition, pages
World Scientific, 2012. Vol. 7, no 3-4, p. 197-217
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Bioinformatics (Computational Biology)
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URN: urn:nbn:se:kau:diva-80279DOI: 10.1142/S1793048012500087Scopus ID: 2-s2.0-84873436194OAI: oai:DiVA.org:kau-80279DiVA, id: diva2:1468424
Available from: 2020-09-17 Created: 2020-09-17 Last updated: 2020-09-29Bibliographically approved

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Saenz Mendez, Patricia

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