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Classification of rhodopsin structures by modern methods of structural bioinformatics.
Novikov, G V; Sivozhelezov, V S; Shebanova, A S; Shaitan, K V.
Afiliación
  • Novikov GV; Institute of Cell Biophysics, Russian Academy of Sciences, ul. Institutskaya 3, 142290 Pushchino, Moscow Region, Russia.
Biochemistry (Mosc) ; 77(5): 435-43, 2012 May.
Article en En | MEDLINE | ID: mdl-22813584
We report a classification of the crystallographic structures of bovine and squid rhodopsins corresponding to different stages of their photocycles. Using the resource Protein (Structure) Comparison, Knowledge, Similarity, and Information server (ProCKSI, http://www.procksi.net/), selected spatial structures were compared on the basis of classification schemes (dendrograms). To compare the spatial structures of transmembrane proteins, optimal consensus was developed from methods implemented in ProCKSI. Structures were also clustered using principal component analysis, resulting in good agreement with the classification based on the ProCKSI consensus method. Analysis of the results revealed the basic movements of individual transmembrane domains of these proteins that we were able to relate to different stages of the photoactivation of rhodopsin. A combination of methods identified in this study can be used as an up-to-date analytical tool to study the conformational dynamics of membrane receptors.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Rodopsina / Biología Computacional Límite: Animals Idioma: En Revista: Biochemistry (Mosc) Año: 2012 Tipo del documento: Article País de afiliación: Rusia Pais de publicación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Rodopsina / Biología Computacional Límite: Animals Idioma: En Revista: Biochemistry (Mosc) Año: 2012 Tipo del documento: Article País de afiliación: Rusia Pais de publicación: Estados Unidos