Protein Structure Prediction of Amino Acid Co...

Protein Structure Prediction of Amino Acid Compositions using Genetic Algorithm

Author Name : Subhendu Bhusan Rout, Sasmita Mishra, Dillip Kumar Swain

ABSTRACT The research upon genomic data and genomic science in the field of bioinformatics is folded into many times in the last few decades. In general bioinformatics is the Application of Computer aided technologies in the field of medicine and drug designing. Effective computer aided technologies may provide better and more accurate result in terms of large data sets which are also folded many times in the last two decades. There are various hard computing techniques and Soft computing technologies that can be applied in the field of bioinformatics by different researchers. Soft computing technologies like Artificial Neural Network, Fuzzy Logic, Genetic Algorithms and other hybrid soft computing technologies like swarm optimization, Ant Colony Network has a large application in the field of bioinformatics in which protein structure prediction is a major task of bioinformatics. Protein structure prediction is always a challenging task of bioinformatics which is very useful during drug design and medicine research. Proteins are the large molecules that contain different amount of amino acid composition and also differs one from each other due to its difference in their percentages. Protein Structure prediction is the prediction of three dimensional structure form its amino acid sequences and a Protein molecule may contain twenty different type of amino acid compositions. By the application of drugs and external agents the shape changes from time to time. This shape may contain α-helics, β-sheet and loops(coil).