SCOP, Structural Classification of Proteins Database: Applications to Evaluation of the Effectiveness of Sequence Alignment Methods and Statistics of Protein Structural Data (1998)
Cached
Download Links
| Citations: | 703 - 16 self |
BibTeX
@MISC{Hubbard98scop,structural,
author = {Tim J. P. Hubbard and Bart Ailey and Steven E. Brenner and Alexey G. Murzin and Cyrus Chothia},
title = {SCOP, Structural Classification of Proteins Database: Applications to Evaluation of the Effectiveness of Sequence Alignment Methods and Statistics of Protein Structural Data},
year = {1998}
}
Years of Citing Articles
Bookmark
 |
 |
 |
 |
 |
 |
OpenURL
Abstract
The Structural Classification of Proteins (SCOP) database provides a detailed and comprehensive description of the relationships of all known protein structures. The classification is on hierarchical levels: the first two levels, family and superfamily, describe near and far evolutionary relationships; the third, fold, describes geometrical relationships. The distinction between evolutionary relationships and those that arise from the physics and chemistry of proteins is a feature that is unique to this database, so far. The database can be used as a source of data to calibrate sequence search algorithms and for the generation of population statistics on protein structures. The database and its associated les are freely accessible from a number of WWW sites mirrored from URL http://scop.mrc-lmb. cam.ac.uk/scop/.
