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Computational methods for functional site identification suggest a substrate access channel in transaldolase.
Silberstein, Michael; Landon, Melissa R; Wang, Yaoyu E; Perl, Andras; Vajda, Sandor.
Afiliação
  • Silberstein M; Graduate Program in Bioinformatics, Boston University, Boston, Massachusetts 02215, USA. mikesilb@bu.edu
Genome Inform ; 17(1): 13-22, 2006.
Article em En | MEDLINE | ID: mdl-17503352
The homozygous deletion of Serine 171 results in the catalytic inactivation of the human transaldolase. Since Ser171 is in an outside loop, whereas the catalytic site is inside of the alpha/beta-barrel of the protein at least 15 A away, the loss of activity is difficult to explain. Two distinct computational methods are used to elucidate the potential origin of inactivation. Computational solvent mapping, which moves small organic molecules as probes around a protein surface and finds favorable binding positions, identifies the region around Ser171 as an important binding site. Three-dimensional cluster analysis, based both on a reference structure and multiple sequence alignment, shows that a patch of functionally important residues extends from Ser171 toward the catalytic site. Based on the findings of these two methods, we propose a novel ligand access path connecting these specific sites to the enzyme's active site. We also suggest that this mechanism may be aided by a significant conformational change involving the separation of two helices, alphaD and alphaG, in order to create an easy-access channel between the Ser171-related site and the active site. Further experimental procedures will be necessary to examine the biological feasibility of this proposed ligand shuttling path.
Assuntos
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Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Transaldolase / Biologia Computacional Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Child / Female / Humans Idioma: En Ano de publicação: 2006 Tipo de documento: Article
Buscar no Google
Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Transaldolase / Biologia Computacional Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Child / Female / Humans Idioma: En Ano de publicação: 2006 Tipo de documento: Article