Physical Markov model for protein structure prediction

Popular protein folding simulations such as molecular dynamics (MD)-based simulations require large amounts of CPU time. Statistical template and combined MD template simulations can be very accurate. However, they often fail to provide physical insight into the physical processes of folding and mis-folding. The presented Markov simulation based on particle diffusion and drift via rotation angle is: fast, reasonably accurate, and provides essential insights. Solving many intermediate problems lead to these abilities.