Proteins Structure Prediction And The Research On These Methods

The proteins, macro-molecules encoded by DNA, chemical unit of which is the amino acid, attach greatly close importance to biological activities of the mankind. By combing some amino acids, a continuous long chain with spatial structure formed and the proteins come into being. The proteins are the basic elementary component of life, while they are responsible for carrying through the functions of body cell.The genome sequencing result demonstrates that in the human body there are about more one hundred thousands kinds of different proteins, every of which possesses unique function and purpose, that realizing the function of a protein is completed through the effect between the structures of proteins and other molecules. The result tells us knowing about the structures of proteins is the key to grasp the function in grain. From the above, we can say that it is not exaggerated that the problem of protein structure prediction is one of the magnificent research domains of bioinformatics in twenty-first century.The main purpose of my paper is to make a conclusion about the protein structure and the prediction of protein structure and put forward a method for protein structure prediction with the genetic neural network. The back of the paper evaluated some methods that are applied abroad for secondary structure prediction, and found the rate of the three methods are high and sequence alignment could raise the result.