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This paper describes a case study of 3D protein structure prediction of six sequences from protein data bank (PDB) by genetic algorithm and tabu search (GATS), where off-lattice AB model is considered as a simplified model of protein structure. The lowest-energy values required for forming the native conformation of proteins are searched by GATS, and then the coarse structures (i.e., simplified structure) of the proteins are obtained according to the multiple angle parameters corresponding to the lowest energies. All the coarse structures form single hydrophobic cores surrounded by hydrophilic residues, which stay on the right side of the actual characteristic of protein structure. It demonstrates that this approach can predict the 3D protein structure effectively.
This paper describes a case study of 3D protein structure prediction of six sequences from protein data bank (PDB) by genetic algorithm and tabu search (GATS), where off-lattice AB model is considered as a simplified model of protein structure. The lowest- energy values required for forming the native conformation of proteins are searched by GATS, and then the coarse structures (ie, simplified structure) of the proteins are according according to the multiple angle parameters corresponding to the lowest energies. All the coarse structures form single hydrophobic cores surrounded by hydrophilic residues, which stay on the right side of the actual characteristic of protein structure. It demonstrates that this approach can predict the 3D protein structure effectively.