In this work, we describe the development of softcore potential functions that permit occasional "tunneling" through the regions of conformational space during molecular dynamics (MD) simulations, which would otherwise be sterically prohibited. The modification consists of a truncation of the nonbonded interaction before the steeply repulsive region encountered at short interatomic distances. This modification affects both Lennard-Jones and Coulomb parts of the nonbonded potential. Critical to success is the choice of appropriate pairwise switching distances at which this modification should be made. In the present work, these are calculated based on potential of mean force functions extracted from model system molecular dynamics simulations. We believe that these functions describe the dynamic short-range interactions much better than mean force potentials derived from an ensemble of static structures (e.g. protein data bank (PDB)). Once a set of mean force potentials is obtained, a single empirical parameter, effective barrier height, is employed to determine switching distances for all pairwise atomic interactions. Changing this single parameter allows adjustment of the "softness" of the whole system. We tested the applicability of the new softcore potentials in a loop structure optimization study. The H1 loop in the antibody 17/9 was selected as our test case because substantial repacking of loop residues in the dense protein environment is necessary for successful relaxation of random initial conformations. Softcore simulations converted to correct loop conformations, in contrast to standard simulations which never sampled this structure even after 10 ns. The resulting root mean square deviation (RMSD) values (below 1.3 A for all heavy atoms of the loop) demonstrate the usefulness of the approach based on mean force derived softcore functions.