Title: | Discovery of Structural Motifs Using Protein Structural Alphabets and 1D Motif-Finding Methods |
Authors: | Ku, Shih-Yen Hu, Yuh-Jyh 電控工程研究所 Institute of Electrical and Control Engineering |
Keywords: | Protein structure;Structural alphabet;Motif |
Issue Date: | 2010 |
Abstract: | Although the increasing number of available 3D proteins structures has made a wide variety of computational protein structure research possible, yet the success is still hindered by the high 3D computational complexity. Based on 3D information, several 1D protein structural alphabets have been developed, which can not only describe the global folding structure of a protein as a 1D sequence, but can also characterize local structures in proteins. Instead of applying computationally intensive 3D structure alignment tools, we introduce an approach that combines standard 1D motif detection methods with structural alphabets to discover locally conserved protein motifs. These 1D structural motifs can characterize protein groups at different levels, e.g., families, super families, and folds in SCOP, as group features. |
URI: | http://hdl.handle.net/11536/5999 http://dx.doi.org/10.1007/978-1-4419-5913-3_14 |
ISBN: | 978-1-4419-5912-6 |
ISSN: | 0065-2598 |
DOI: | 10.1007/978-1-4419-5913-3_14 |
Journal: | ADVANCES IN COMPUTATIONAL BIOLOGY |
Volume: | 680 |
Begin Page: | 117 |
End Page: | 123 |
Appears in Collections: | Articles |
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