Docking and small angle X-ray scattering studies of purine nucleoside phosphorylase


Autoria(s): de Azevedo, W. F.; dos Santos, G. C.; dos Santos, D. M.; Olivieri, JR; Canduri, F.; Silva, R. G.; Basso, L. A.; Renard, G.; da Fonseca, I. O.; Mendes, M. A.; Palma, Mario Sergio; Santos, D. S.
Contribuinte(s)

Universidade Estadual Paulista (UNESP)

Data(s)

20/05/2014

20/05/2014

03/10/2003

Resumo

Docking simulations have been used to assess protein complexes with some success. Small angle X-ray scattering (SAXS) is a well-established technique to investigate protein spatial configuration. This work describes the integration of geometric docking with SAXS to investigate the quaternary structure of recombinant human purine nucleoside phosphorylase (PNP). This enzyme catalyzes the reversible phosphorolysis of N-ribosidic bonds of purine nucleosides and deoxynucleosides. A genetic deficiency due to mutations in the gene encoding for PNP causes gradual decrease in T-cell immunity. Inappropriate activation of T-cells has been implicated in several clinically relevant human conditions such as transplant rejection, rheumatoid arthritis, lupus, and T-cell lymphomas. PNP is therefore a target for inhibitor development aiming at T-cell immune response modulation and has been submitted to extensive structure-based drug design. The present analysis confirms the trimeric structure observed in the crystal. The potential application of the present procedure to other systems is discussed. (C) 2003 Elsevier B.V. All rights reserved.

Formato

923-928

Identificador

http://dx.doi.org/10.1016/j.bbrc.2003.08.093

Biochemical and Biophysical Research Communications. San Diego: Academic Press Inc. Elsevier B.V., v. 309, n. 4, p. 923-928, 2003.

0006-291X

http://hdl.handle.net/11449/19515

10.1016/j.bbrc.2003.08.093

WOS:000185774300033

Idioma(s)

eng

Publicador

Elsevier B.V.

Relação

Biochemical and Biophysical Research Communications

Direitos

closedAccess

Palavras-Chave #geometric docking #SAXS #purine nucleoside phosphorylase #bioinformatics
Tipo

info:eu-repo/semantics/article