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Prediction of protein side chain conformation is a key step in protein design, as well as protein structure prediction and homology modeling.We have developed a method for protein side chain conformation prediction using a combination of statistical potential and force field.Five different statistical potentials, namely DFIRE, RAPDF, KBP, FRCBP and SACBP, in combination with two different van der Walls energies and a rotamer probability term were tested in the calculations.When using softened OPSL-AA van de Walls energy,PAPDF gave the best result, while SACBP and linear VDWenergy achieved the highest accuracy over all.The program was run over a dataset of 180 proteins with 34342 side chains and compared with SCWRL3, a popular sidechain prediction program.The total x1 and x1+2 dihedral angle accuracies are 83.