PyRETIS: A well-done, medium-sized python library for rare events. - Anders Lervik; Enrico Riccardi; Titus S. van Erp (J. Comput. Chem., 2017)

Predicting the mechanism and rate of H-NS binding to AT-rich DNA. - Enrico Riccardi; Eva C. van Mastbergen; William Wiley Navarre; Jocelyne Vreede (PLoS Comput. Biol., 2019)

PyRETIS 2: An improbability drive for rare events. - Enrico Riccardi; Anders Lervik; Sander Roet; Ola Aarøen; Titus S. van Erp (J. Comput. Chem., 2020)

PyVisA: Visualization and Analysis of path sampling trajectories. - Ola Aarøen; Henrik Kiær; Enrico Riccardi (J. Comput. Chem., 2021)

The immuneML ecosystem for machine learning analysis of adaptive immune receptor repertoires. - Milena Pavlovic; Lonneke Scheffer; Keshav Motwani; Chakravarthi Kanduri; Radmila Kompova; Nikolay Vazov; Knut Waagan; Fabian L. M. Bernal; Alexandre Almeida Costa; Brian Corrie; Rahmad Akbar; Ghadi S. Al Hajj; et al. (Nat. Mach. Intell., 2021)

PyRETIS 3: Conquering rare and slow events without boundaries. - Wouter Vervust; Daniel T. Zhang; An Ghysels; Sander Roet; Titus S. van Erp; Enrico Riccardi (J. Comput. Chem., 2024)