Reference : SELECTION OF REPRESENTATIVE PROTEIN DATA SETS
Scientific journals : Article
Life sciences : Biochemistry, biophysics & molecular biology
http://hdl.handle.net/10993/17194
SELECTION OF REPRESENTATIVE PROTEIN DATA SETS
English
HOBOHM, U. [> >]
SCHARF, M. [> >]
Schneider, Reinhard mailto [European Molecular Biology Laboratory - EMBL]
SANDER, C. [> >]
1992
Protein Science : A Publication of the Protein Society
Cold Spring Harbor Laboratory Press
1
3
409-417
Yes (verified by ORBilu)
International
0961-8368
1469-896X
Woodbury
NY
[en] NMR ; PROTEIN DATA SETS ; X-RAY CRYSTALLOGRAPHY
[en] The Protein Data Bank currently contains about 600 data sets of three-dimensional protein coordinates determined by X-ray crystallography or NMR. There is considerable redundancy in the data base, as many protein pairs are identical or very similar in sequence. However, statistical analyses of protein sequence-structure relations require nonredundant data. We have developed two algorithms to extract from the data base representative sets of protein chains with maximum coverage and minimum redundancy. The first algorithm focuses on optimizing a particular property of the selected proteins and works by successive selection of proteins from an ordered list and exclusion of all neighbors of each selected protein. The other algorithm aims at maximizing the size of the selected set and works by successive thinning out of clusters of similar proteins. Both algorithms are generally applicable to other data bases in which criteria of similarity can be defined and relate to problems in graph theory. The largest nonredundant set extracted from the current release of the Protein Data Bank has 155 protein chains. In this set, no two proteins have sequence similarity higher than a certain cutoff (30% identical residues for aligned subsequences longer than 80 residues), yet all structurally unique protein families are represented. Periodically updated lists of representative data sets are available by electronic mail from the file server "netserv @ embl-heidelberg.de." The selection may be useful in statistical approaches to protein folding as well as in the analysis and documentation of the known spectrum of three-dimensional protein structures.
Luxembourg Centre for Systems Biomedicine (LCSB): Bioinformatics Core (R. Schneider Group)
http://hdl.handle.net/10993/17194

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