Protein Structure Prediction in Bioinformatic...

Protein Structure Prediction in Bioinformatics

Author Name : Misriya Salim, Namiya K Z, Praveen kumar K S

ABSTRACT

Protein structure is an amino acid-chain molecule which consists of the three-dimensional arrangement of atoms. Proteins form by compression reactions of amino acids, in which the amino acids drop one water molecule per reaction in demand to assign to one another with a peptide bond. The size of the protein structure ranges from ten to several thousand amino acids. We can comprise a prediction for proteins of the amino acid sequence as likely alpha helices, beta strands or turns by assigning it region. The hypothesis of the protein structure prediction is the three-dimensional structure of a protein from its amino acid sequence-that is, from primary structure, the prediction of its secondary and tertiary structure can be complete. Today one of the major problems faced by bioinformatics is the protein structure prediction from amino acid sequence. This is caused by the reality that the biological function of the protein is set on by its three-dimensional structure. Thus, the computational biology is a fundamental area of a protein structure prediction. Through bioinformatics, protein structure prediction can subordinate credentials and classification of domains, sequence similarity searches, multiple sequence alignments, solvent accessibility prediction, secondary structure prediction, automatic protein fold recognition, creating three-dimensional models to atomic detail, and model validation. In bioinformatics, there are two similarity searching programs, BLAST and FASTA that classify homologous DNA sequences and proteins formed on the surplus sequence similarity. They implement abilities for analyzing DNA and proteins sequences with the current DNA and protein database.  

Keywords: Amino Acid Sequence, Bioinformatics, Protein Structure Prediction, Three-Dimensional Structure