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Lattice modeling of proteins is commonly used in studying the protein folding problem. A finite number of possible conformations of lattice models enormously facilitates exploration of the conformational space. In this work, we suggest a method to search for the optimal lattice models that reproduced the off-lattice structures with minimal errors in geometry and energetics. The method is based on the self-consistent field optimization of a combined pseudoenergy function that includes two force fields: an "interaction field", which drives the residues to optimize the chain energy, and a "geometrical field", which attracts the residues towards their native positions. By varying the contributions of these force iields in the

A self-consistent field optimization approach to build energetically and geometrically correct lattice models of proteins