PyRETIS 3: Conquering rare and slow events without boundaries.

We present and discuss the advancements made in PyRETIS 3, the third instalment of our Python library for an efficient and user-friendly rare event simulation, focused to execute molecular simulations with replica exchange transition interface sampling (RETIS) and its variations. Apart from a general rewiring of the internal code towards a more modular structure, several recently developed sampling strategies have been implemented. These include recently developed Monte Carlo moves to increase path decorrelation and convergence rate, and new ensemble definitions to handle the challenges of long-lived metastable states and transitions with unbounded reactant and product states.

Path sampling with memory reduction and replica exchange to reach long permeation timescales.

Assessing kinetics in biological processes with molecular dynamics simulations remains a computational and conceptual challenge, given the large time and length scales involved. For kinetic transport of biochemical compounds or drug molecules, the permeability through the phospholipid membranes is a key kinetic property, but long timescales are hindering the accurate computation. Technological advances in high-performance computing therefore need to be accompanied by theoretical and methodological developments.

Oxygen Storage in Stacked Phospholipid Membranes Under an Oxygen Gradient as a Model for Myelin Sheaths.

Axons in the brain and peripheral nervous system are enveloped by myelin sheaths, which are composed of stacked membrane bilayers containing large fractions of cholesterol, phospholipids, and glycolipids. The oxygen availability to the nearby oxygen consuming cytochrome c oxidase in the mitochondria is essential for the well-functioning of a cell. By constructing a rate network model based on molecular dynamics simulations, and solving it for steady-state conditions, this work calculates the oxygen storage in stacked membranes under an oxygen gradient.