Automatic MARTINI parametrization of small organic molecules

Generate coarse-grained molecular dynamics models from atomistic trajectories.

Geometric super-resolution for molecular geometries

Swarm-CG: Automatic Parametrization of Bonded Terms in MARTINI-based Coarse-Grained Models of Simple to Complex Molecules via Fuzzy Self-Tuning Particle Swarm Optimization

Generate input parameters and coordinates for atomistic and coarse-grained simulations of polymers, ssDNA, and carbohydrates

Automated bonded parameters for Martini 3

Generates Martini models for open carbon nanotubes to use with Gromacs.

[TMLR 2023] Simulate time-integrated coarse-grained MD with multi-scale graph neural networks

A toolkit for working with coarse-grain systems

Perform polymerization and crosslinking in MARTINI coarse-grained forcefield using GROMACS MD package

Creates a set of coarse-grained beads based on an input geometry

AA2UA: A Python Tool for Converting All-Atom PDB Models into their United Atom Coarse Grained Counterparts for Use in LAMMPS

Coarse-grained mapping and parametrisation for the Martini 3 forcefield

VMD plugin to simplify setting up coarse-grained simulations