Recognition of spatial motifs in protein structures
1999 (English)In: JOURNAL OF MOLECULAR BIOLOGY, ISSN 0022-2836, Vol. 285, no 4, 1887-1897 p.Article in journal (Refereed) Published
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. Copyright 1999 Academic Press.
Place, publisher, year, edition, pages
1999. Vol. 285, no 4, 1887-1897 p.
alanine racemase; lipid-binding protein; pattern recognition; protein structure; spatial motif; 3D COORDINATE TEMPLATES; SEQUENCE PATTERNS; CRYSTAL-STRUCTURE; BINDING-SITES; 3-DIMENSIONAL PATTERNS; PROFILE ANALYSIS; SIDE-CHAINS; DATA-BANK; ACID; IDENTIFIC
IdentifiersURN: urn:nbn:se:uu:diva-78984OAI: oai:DiVA.org:uu-78984DiVA: diva2:106897