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
fDate :
Aug. 30 2006-Sept. 3 2006
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;
Conference_Titel :
Engineering in Medicine and Biology Society, 2006. EMBS '06. 28th Annual International Conference of the IEEE
Conference_Location :
New York, NY
Print_ISBN :
1-4244-0032-5
Electronic_ISBN :
1557-170X
DOI :
10.1109/IEMBS.2006.259727