Combination of Differential Evolution and Fragment-based Replacements for Protein Structure Prediction. - Daniel Varela; José Santos Reyes (GECCO (Companion), 2015)

Protein Folding Modeling with Neural Cellular Automata Using Rosetta. - Daniel Varela; José Santos Reyes (GECCO (Companion), 2016)

A protein folding model using the face-centered cubic lattice model. - Daniel Varela; José Santos Reyes (GECCO (Companion), 2017)

A Hybrid Evolutionary Algorithm for Protein Structure Prediction Using the Face-Centered Cubic Lattice Model. - Daniel Varela; José Santos Reyes (ICONIP (1), 2017)

Protein Folding Modeling with Neural Cellular Automata Using the Face-Centered Cubic Model. - Daniel Varela; José Santos Reyes (IWINAC (1), 2017)

Crowding Differential Evolution for Protein Structure Prediction. - Daniel Varela; José Santos Reyes (IWINAC (2), 2019)

Automatically obtaining a cellular automaton scheme for modeling protein folding using the FCC model. - Daniel Varela; José Santos Reyes (Nat. Comput., 2019)

Energy Minimization vs. Deep Learning Approaches for Protein Structure Prediction. - Juan Luis Filgueiras; Daniel Varela; José Santos Reyes (IWINAC (1), 2022)

Evolving cellular automata schemes for protein folding modeling using the Rosetta atomic representation. - Daniel Varela; José Santos Reyes (Genet. Program. Evolvable Mach., 2022)

Protein structure prediction in an atomic model with differential evolution integrated with the crowding niching method. - Daniel Varela; José Santos Reyes (Nat. Comput., 2022)

Niching methods integrated with a differential evolution memetic algorithm for protein structure prediction. - Daniel Varela; José Santos Reyes (Swarm Evol. Comput., 2022)

Protein structure prediction with energy minimization and deep learning approaches. - Juan Luis Filgueiras; Daniel Varela; José Santos 003 (Nat. Comput., 2023)