Protein three-dimensional structural databases: Domains, structurally aligned homologues and superfamilies


Autoria(s): Sowdhamini, R; Burke, DF; Deane, C; Huang, JF; Mizuguchi, K; Nagarajaram, HA; Overington, JP; Srinivasan, N; Steward, RE; Blundell, TL
Data(s)

1998

Resumo

This paper reports the availability of a database of protein structural domains (DDBASE), an alignment database of homologous proteins (HOMSTRAD) and a database of structurally aligned superfamilies (CAMPASS) on the World Wide Web (WWW). DDBASE contains information on the organization of structural domains and their boundaries; it includes only one representative domain from each of the homologous families. This database has been derived by identifying the presence of structural domains in proteins on the basis of inter-secondary structural distances using the program DIAL [Sowdhamini & Blundell (1995), Protein Sci. 4, 506-520]. The alignment of proteins in superfamilies has been performed on the basis of the structural features and relationships of individual residues using the program COMPARER [Sali & Blundell (1990), J. Mol. Biol. 212, 403-428]. The alignment databases contain information on the conserved structural features in homologous proteins and those belonging to superfamilies. Available data include the sequence alignments in structure-annotated formats and the provision for viewing superposed structures of proteins using a graphical interface. Such information, which is freely accessible on the WWW, should be of value to crystallographers in the comparison of newly determined protein structures with previously identified protein domains or existing families.

Identificador

http://159.226.149.42/handle/152453/4879

http://www.irgrid.ac.cn/handle/1471x/47771

Direitos

Protein three-dimensional structural databases: Domains, structurally aligned homologues and superfamilies

Fonte

Sowdhamini, R; Burke, DF; Deane, C; Huang, JF; Mizuguchi, K; Nagarajaram, HA; Overington, JP; Srinivasan, N; Steward, RE; Blundell, TL.Protein three-dimensional structural databases: Domains, structurally aligned homologues and superfamilies,54,1168-1177,(SCI-E):

Palavras-Chave #Biochemical Research Methods; Biochemistry & Molecular Biology; Biophysics; Crystallography
Tipo

期刊论文