Non-markovian dynamics of pore growth and membrane stability
W. Sung, and P.J. Park
Dept. of Physics, Pohang University of Science and Technology
Pohang 790-784, S. Korea
Pores can form and grow in biomembranes due to the factors such as thermal fluctuation, transmembrane potential and their environment. We propose a new model of the pore growth treated as a Non-Markovian Gaussian stochastic process. On the basis of barrier crossing theory, an analytical expression and the phase diagram for membrane lifetime are obtained. The memory effect due to membrane viscoelasicity tend to react react against pore growth and compete with other factors to manifest rich dynamic phase transitions in membrane stability.