Joint Evolutionary Trees: A Large-Scale Method To Predict Protein Interfaces Based on Sequence Sampling. - Stefan Engelen; Ladislas A. Trojan; Sophie Sacquin-Mora; Richard Lavery; Alessandra Carbone (PLoS Comput. Biol., 2009)

Protein-Protein Interactions in a Crowded Environment: An Analysis via Cross-Docking Simulations and Evolutionary Information. - Anne Lopes; Sophie Sacquin-Mora; Viktoriya Dimitrova; Elodie Laine; Yann Ponty; Alessandra Carbone (PLoS Comput. Biol., 2013)

Meet-U: Educating through research immersion. - Nika Abdollahi; Alexandre Albani; Éric Anthony; Agnes Baud; Mélissa Cardon; Robert Clerc; Dariusz Czernecki; Romain Conte; Laurent David; Agathe Delaune; Samia Djerroud; Pauline Fourgoux; et al. (PLoS Comput. Biol., 2018)

Design - a new way to look at old molecules. - Davide Spalvieri; Anne-Marine Mauviel; Matthieu Lambert; Nicolas Férey; Sophie Sacquin-Mora; Matthieu Chavent; Marc Baaden (J. Integr. Bioinform., 2022)

Best Practices of Using AI-Based Models in Crystallography and Their Impact in Structural Biology. - Marc Graille; Sophie Sacquin-Mora; Antoine Taly (J. Chem. Inf. Model., 2023)

nP-Collabs: Investigating Counterion-Mediated Bridges in the Multiply Phosphorylated Tau-R2 Repeat. - Jules Marien; Chantal Prévost; Sophie Sacquin-Mora (J. Chem. Inf. Model., 2024)

A Perspective on the Prospective Use of AI in Protein Structure Prediction. - Raphaelle Versini; Sujith Sritharan; Burcu Aykaç Fas; Thibault Tubiana; Sana Zineb Aimeur; Julien Henri; Marie Erard; Oliver Nüsse; Jessica Andreani; Marc Baaden; Patrick Fuchs; Tatiana Galochkina; et al. (J. Chem. Inf. Model., 2024)