  Limitation of computational resources is considered as a universal principle
that for simulation is as fundamental as physical laws are. It claims that all
experimentally verifiable implications of physical laws can be simulated by the
effective classical algorithms. It is demonstrated through a completely
deterministic approach proposed for the simulation of biopolymers assembly. A
state of molecule during its assembly is described in terms of the reduced
density matrix permitting only limited tunneling. An assembly is treated as a
sequence of elementary scatterings of simple molecules from the environment on
the point of assembly. A decoherence is treated as a forced measurement of
quantum state resulted from the shortage of computational resource. All results
of measurements are determined by a choice from the limited number of special
options of the nonphysical nature which stay unchanged till the completion of
assembly; we do not use the random numbers generators. Observations of equal
states during the assembly always give the same result. We treat a scenario of
assembly as an establishing of the initial states for elementary scatterings.
The different scenarios are compared according to the distributions of the
assembly results.
