Anncolvar

Anncolvar is a software package that addresses the challenges of calculating complex collective variables in molecular dynamics simulations. Collective variables are essential low-dimensional descriptors of molecular structure, crucial for monitoring simulation states, calculating free energy profiles, and facilitating the acceleration of rare events through bias potentials or forces. However, the frequent calculation of complex collective variables can significantly slow the simulation and trajectory analysis processes. Additionally, many collective variables within a simulation cannot be directly calculated for newly sampled structures.

To overcome these hurdles, Anncolvar utilizes artificial neural networks to approximate collective variables. By building and training a neural network model, Anncolvar can effectively represent a collective variable that mirrors its behavior and properties. This model can generate input for the PLUMED package, an open-source platform for enhanced sampling simulations. Integrating with PLUMED allows the approximated collective variable to be monitored and biased using the methods available within the PLUMED framework, thereby strengthening the simulation's efficiency and accuracy.