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
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;
Conference_Titel :
Computing, Communications and Networking Technologies (ICCCNT),2013 Fourth International Conference on
Conference_Location :
Tiruchengode
Print_ISBN :
978-1-4799-3925-1
DOI :
10.1109/ICCCNT.2013.6726753