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PMID: 9917419 Published · ppublish English Comparative Study Journal Article Research Support, Non-U.S. Gov't

Recognition of spatial motifs in protein structures.

Journal of molecular biology ·Vol. 285 ·No. 4 ·1999-01-29 ·Pages 1887-97

Kleywegt GJ

Abstract

As the structural database continues to expand, new methods are required to analyse and compare protein structures. Whereas the recognition, comparison, and classification of folds is now more or less a solved problem, tools for the study of constellations of small numbers of residues are few and far between. In this paper, two programs are described for the analysis of spatial motifs in protein structures. The first, SPASM, can be used to find the occurrence of a motif consisting of arbitrary main-chain and/or side-chains in a database of protein structures. The program also has a unique capability to carry out "fuzzy pattern matching" with relaxed requirements on the types of some or all of the matching residues. The second program, RIGOR, scans a single protein structure for the occurrence of any of a set of pre-defined motifs from a database. In one application, spatial motif recognition combined with profile analysis enabled the assignment of the structural and functional class of an uncharacterised hypothetical protein in the sequence database. In another application, the occurrence of short left-handed helical segments in protein structures was investigated, and such segments were found to be fairly common. Potential applications of the techniques presented here lie in the analysis of (newly determined) structures, in comparative structural analysis, in the design and engineering of novel functional sites, and in the prediction of structure and function of uncharacterised proteins.

MeSH Terms
Algorithms Amino Acid Sequence Binding Sites Databases, Factual Metals Models, Molecular Molecular Sequence Data Pattern Recognition, Automated Protein Conformation Protein Structure, Secondary Proteins/chemistry,genetics Sequence Alignment Software
Chemicals
Metals Proteins
Authors & Affiliations
1 authors, click to expand affiliations / ORCID
Kleywegt G J
Uppsala University Biomedical Centre, Uppsala, SE-751 24, Sweden. [email protected]
Article Info
Journal
Journal of molecular biology
Abbr.
J Mol Biol
ISSN
0022-2836
Published
1999-01-29
Pages
1887-97
Language
English
Region
England
NLM ID
2985088R
Subset
IM
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