DocumentCode
471843
Title
Combinatorial model for sequence and spatial motif discovery in short sequence fragments: Examples from Ã\x9f-barrel membrane proteins
Author
Jackups, Ronald, Jr. ; Liang, Jie
Author_Institution
Dept. of Bioeng., Illinois Univ., Chicago, IL
fYear
2006
fDate
Aug. 30 2006-Sept. 3 2006
Firstpage
3470
Lastpage
3473
Abstract
Motifs are over-represented sequence or spatial patterns appearing in proteins. They often play important roles in maintaining protein stability and in facilitating protein functions. When motifs are located in short sequence fragments, as in transmembrane domains that are only 10-20 residues in length, and when there is only very limited data, it is difficult to identify motifs. In this study, we develop combinatorial models for assessing statistically significant sequence and spatial patterns. We show our method can uncover previously unknown sequence and spatial motifs in beta-barrel membrane proteins
Keywords
biochemistry; biomembranes; combinatorial mathematics; molecular biophysics; proteins; statistical analysis; beta-barrel membrane proteins; combinatorial model; protein functions; protein stability; short sequence fragments; spatial motif discovery; spatial patterns; statistically significant sequence; transmembrane domains; Analytical models; Assembly; Biomembranes; Cities and towns; Equations; Frequency; Protein engineering; Stability; Statistical distributions; USA Councils;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society, 2006. EMBS '06. 28th Annual International Conference of the IEEE
Conference_Location
New York, NY
ISSN
1557-170X
Print_ISBN
1-4244-0032-5
Electronic_ISBN
1557-170X
Type
conf
DOI
10.1109/IEMBS.2006.259727
Filename
4462543
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