Title : New theorems from markov chains model for application to MSM’s in protein folding and further applications
Abstract:
The time evolution of the eigenvalues for the dominant-eigenvalues Markov-States- Models (MSM’s) and the relative errors are analytically calculated.
For this purpose, new theorems form Markov Chains models are presented, from which the pertinent theorem are originated for the MSM’s in the Galerkin description. The expectaions of the path-integral with the appropriate Radon measure is newly analytically calculated in the Markov-Chains models: the pertinent Kernels simplify to the new analytical expressions of the Laplace transforms of the time-evolved eigenvalues; the erors are newly analytically calculated.
The methods apply to protein-folding; further applications are envisaged.
Audience Take Away:
- They will be able to analytically write the time evolution of the eigenvalues of the MSM’s and the relative errors in the Garlenkin description; this methods replace that of numerical simulations
- The audience will learn how to calculate analytically the eigeinvalues of the MSM’s and the analytical calculations of the errors: the method is exact and replaces the numerical-simulation techniques
- Numerical-simulation techniques are prelaced by analytical expressions after the new theorems
- The work is simplified because the probles are solved analytically rather than after numerical simulations
- The design of experiment becomes exact, rather than inferred form the numerical simuations
- The audience will be able to analytically validate experiments of protein folding, further applications which involve the MSM’s are envisaged