IRaPPA: information retrieval based integration of biophysical models for protein assembly selection. - Iain H. Moal; Didier Barradas-Bautista; Brian Jiménez-García; Mieczyslaw Torchala; Arjan van der Velde; Thom Vreven; Zhiping Weng; Paul A. Bates; Juan Fernández-Recio (Bioinform., 2017)

Unraveling Go gaming nature by Ising Hamiltonian and common fate graphs: tactics and statistics. - Didier Barradas-Bautista; Matías Alvarado 001 (CoRR, 2018)

Modeling the Game of Go by Ising Hamiltonian, Deep Belief Networks and Common Fate Graphs. - Alfonso Rojas Domínguez; Didier Barradas-Bautista; Matías Alvarado 001 (IEEE Access, 2019)

The CASP13-CAPRI targets as case studies to illustrate a novel scoring pipeline integrating CONSRANK with clustering and interface analyses. - Didier Barradas-Bautista; Zhen Cao; Luigi Cavallo; Romina Oliva (BMC Bioinform., 2020)

Random Forest and Deep Learning Performance on the Malaria DREAM Sub Challenge One. - Didier Barradas-Bautista (Res. Comput. Sci., 2020)

The LightDock Server: Artificial Intelligence-powered modeling of macromolecular interactions. - Brian Jiménez-García; Jorge Roel-Touris; Didier Barradas-Bautista (Nucleic Acids Res., 2023)