DocumentCode
3126547
Title
Bioinformatics: Protein structure prediction
Author
Rokde, Chandrayani N. ; Kshirsagar, Manali
Author_Institution
Dept. of Comput. Technol., Yeshwantrao Chavan Coll. of Eng. Nagpur, Nagpur, India
fYear
2013
fDate
4-6 July 2013
Firstpage
1
Lastpage
5
Abstract
Proteins are essential parts of our life and participate in virtually every process within a cell. The understanding of protein structures is vital to determine the function of a protein. Protein structure prediction (PSP) from amino acid sequence is one of the high focus problems in bioinformatics today. This is due to the fact that the biological function of the protein is determined by its three dimensional structure. Thus, protein structure prediction is a fundamental area of computational biology. Its importance is intensed by large amounts of sequence data coming from PDB (Protein Data Bank) and the fact that experimentally methods such as X-ray crystallography or Nuclear Magnetic Resonance (NMR)which are used to determining protein structures remains very expensive and time consuming. For minimizing the time, computational methods are used for protein folding and structure prediction problem. In this paper results of protein p53 are discussed.
Keywords
bioinformatics; proteins; NMR; PDB; PSP; X-ray crystallography; amino acid sequence; bioinformatics; biological function; computational biology; nuclear magnetic resonance; protein data bank; protein folding prediction problem; protein p53; protein structure prediction; sequence data; three dimensional structure; Amino acids; Databases; Instruction sets; Protein sequence; Shape; Computational tools used in PSP; Protein Folding; Protein Structure Prediction; Proteins;
fLanguage
English
Publisher
ieee
Conference_Titel
Computing, Communications and Networking Technologies (ICCCNT),2013 Fourth International Conference on
Conference_Location
Tiruchengode
Print_ISBN
978-1-4799-3925-1
Type
conf
DOI
10.1109/ICCCNT.2013.6726753
Filename
6726753
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