Evaluating protein motif significance measures: A case study on prosite patterns

• Type: Article in International Conference Proceedings Book
• Date: 2007

Authors

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

Conference proceedings International

Title: 2007 IEEE Symposium on Computational Intelligence and Data Mining, Vols 1 and 2

Pages: 171-178

IEEE Symposium on Computational Intelligence and Data Mining

Honolulu, HI, APR 01-05, 2007

Indexing

ISI Web of Knowledge - 0 Citations

Scopus - 6 Citations

Scientific classification

CORDIS: Physical sciences > Computer science > Informatics

FOS: Natural sciences > Computer and information sciences

Other information

Authenticus ID: P-004-F64

DOI: 10.1109/cidm.2007.368869

Abstract (EN): The existence of preserved subsequences in a set of related protein sequences suggests that they might play a structural and functional role in protein's mechanisms. Due to its exploratory approach, the mining process tends to deliver a large number of motifs. Therefore it is critical to release methods that identify relevant significant motifs. Many measures of interest and significance have been proposed. However, since motifs have a wide range or applications, how to choose the appropriate significance measures is application dependent. Some measures show consistent results being highly correlated, while others show disagreements. In this paper we review existent measures and study their behavior in order to assist the selection of the most appropriate set of measures. An experimental evaluation of the measures for high quality patterns from the Prosite database is presented.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 8