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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