Algorithms for Local Structural Alignment And Structural Motif Identification
Editors
Mourad Elloumi; Albert Y. Zomaya
Document Type
Chapter
Publication Date
1-18-2011
Publication Title
Algorithms in Computational Molecular Biology: Techniques, Approaches and Applications
Publisher
John Wiley & Sons, Inc.
Publisher Location
Hoboken, New Jersey
Edition
1
First page number:
261
Last page number:
276
Abstract
A protein is characterized by both the amino-acid sequence and the threedimensional (3-D) structure of the underlying atoms. Although it is a common practice of the biologists to use sequence similarity among different proteins to identify any conserved regions during the evolution, it has been proven that the 3-D structures of the proteins are conserved more fundamentally than the sequence during the evolution. Even though two given proteins may not exhibit much of a sequence homology, the structural similarity between them might account for similar properties. Proteins with a similar structure might have similar properties. This is the motivation behind the study of the structural alignment problem in a manner similar to that of the sequence alignment problem.
Keywords
Algorithms; Algorithms For Local Structural Alignment - And Structural Motif Identification; Amino acid sequence; Proteins – Structure; Structural Alignment Problems; Receiving Immense Attention; Structural Alignment Based On Center Of Gravity - Sacg; Using Sacg Algorithm - For New Protein Structure Classification
Disciplines
Biochemistry, Biophysics, and Structural Biology | Computational Biology | Molecular Biology
Language
English
Repository Citation
Rajasekaran, S.,
Kundeti, V.,
Schiller, M.
(2011).
Algorithms for Local Structural Alignment And Structural Motif Identification. In Mourad Elloumi; Albert Y. Zomaya,
Algorithms in Computational Molecular Biology: Techniques, Approaches and Applications
261-276.
Hoboken, New Jersey: John Wiley & Sons, Inc..
http://dx.doi.org/10.1002/9780470892107.ch13