Deterministic Motif Mining in Protein Databases

• Type: Chapter or Part of a Book
• Date: 2009

Authors

Ferreira, PG (Author) Other; Azevedo, PJ (Author) Other

Book

Title: Database Technologies: Concepts, Methodologies, Tools, and Applications (4 Volumes)

Pages: 2632-2656

ISBN: 9781605660585

Indexing

Scopus - 0 Citations

Scientific classification

CORDIS: Technological sciences > Engineering > Computer engineering ; Technological sciences > Technology > Knowledge technology

FOS: Natural sciences > Computer and information sciences ; Engineering and technology > Electrical engineering, Electronic engineering, Information engineering

Other information

Authenticus ID: P-00A-8XA

DOI: 10.4018/978-1-59904-951-9.ch102

Abstract (EN): Protein sequence motifs describe, through means of enhanced regular expression syntax, regions of amino-acids that have been conserved across several functionally related proteins. These regions may have an implication at the structural and functional level of the proteins. Sequence motif analysis can bring significant improvements towards a better understanding of the protein sequence-structure-function relation. In this chapter we review the subject of mining deterministic motifs from protein sequence databases. We start by giving a formal definition of the different types of motifs and the respective specificities. Then, we explore the methods available to evaluate the quality and interest of such patterns. Examples of applications and motif repositories are described. We discuss the algorithmic aspects and different methodologies for motif extraction. A briefly description on how sequence motifs can be used to extract structural level information patterns is also provided. © 2025 Elsevier B.V., All rights reserved.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 0