A New Prediction Protein Structure Method Based on Genetic Algorithm and Coarse-Grained Protein Model

Abstract

De novo prediction of protein structures, structures prediction from amino acid sequences which are not similar to those of hitherto resolved structures, has been one of the major challenges in bioinformatics. A new prediction protein structure method based on Genetic Algorithm and Coarse-grained protein model is presented. Genetic Algorithm is a high performance optimization method and can effectively assemble a separate sequence, and Coarse-grained protein model have consistently assembled fragments are dynamically searched by Langevin molecular dynamics of conformational change. This new method combines the advantages of Genetic Algorithm and Coarse-grained protein model, which will improve the accuracy of protein structure prediction.