Title

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

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