The Computational Protein Folding Prediction (CPFP) problem is one of the main research problems in structural bioinformatics that has been studied for well over half a century and is still the subject of substantial research. The challenge in CPFP is to computationally fold 1D linear polypeptide chains into functional 3D-shaped proteins. Simulations of protein folding with full atomistic detail and explicit water molecules are limited to short polypeptides and require massive computing and financial resources. Recently, we developed Monte-Carlo simulations of proteins with implicit water molecules in dihedral space [1,2] that is computationally efficient and affordable. The model does not compromise the atomistic resolution of the simulated protein. Efficient simulations in dihedral space are based on a coarse-grained model that was designed to retains atomic-level resolution of steric repulsion of heavy atoms and backbone hydrogen bonds, but is based on a coarse-grained representation of the residue-residue interaction potential in the form of a 20x20 matrix that defines the energetic cost of pairwise contacts for the 20 naturally occurring amino-acid residues. It was previously demonstrated that a single interaction matrix is not sufficient for the calculation of energy of contact for all proteins [3]. The focus of this work is the source of the disparity of residue-residue interaction matrices for different proteins and to prepare the grounds for the development of a universal force field for the efficient atomistic Monte Carlo simulation of protein folding in dihedral space.
[1] B. Haimov and S. Srebnik, “Assessment of hydrophobicity scales for protein stability and folding using energy and RMSD criteria,” bioRxiv, 2017.
[2] B. Haimov and S. Srebnik, “Efficient Atomistic Monte Carlo Simulation of Protein Folding in Dihedral Space,” presented at the Third CCPBioSim/CCP5 Multiscale Modelling Conference, Manchester, UK, 2018.
[3] M. Vendruscolo and E. Domany, “Pairwise contact potentials are unsuitable for protein folding,” J. Chem. Phys., vol. 109, no. 24, pp. 11101–11108, 1998.