Bayesian single-exponential kinetics in single-molecule experiments and simulations.

摘要: In this work, we develop a fully Bayesian method for the calculation of probability distributions single-exponential rates any single-molecule process. These can even be derived when no transitions from one state to another have been observed, since in that case data used estimate lower bound on rate. Using hypothesis test, easily test whether transition occurs at same rate or different two sets. We illustrate these methods with molecular dynamics simulations folding β-sheet protein. However, theory presented here simulation experiment which two-state description is appropriate.