Daniel Varela

Orcid: 0000-0001-7799-0119

According to our database1, Daniel Varela authored at least 12 papers between 2015 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Bibliography

2023
Protein structure prediction with energy minimization and deep learning approaches.
Nat. Comput., December, 2023

2022
Niching methods integrated with a differential evolution memetic algorithm for protein structure prediction.
Swarm Evol. Comput., 2022

Protein structure prediction in an atomic model with differential evolution integrated with the crowding niching method.
Nat. Comput., 2022

Evolving cellular automata schemes for protein folding modeling using the Rosetta atomic representation.
Genet. Program. Evolvable Mach., 2022

Energy Minimization vs. Deep Learning Approaches for Protein Structure Prediction.
Proceedings of the Bio-inspired Systems and Applications: from Robotics to Ambient Intelligence, 2022

2019
Automatically obtaining a cellular automaton scheme for modeling protein folding using the FCC model.
Nat. Comput., 2019

Crowding Differential Evolution for Protein Structure Prediction.
Proceedings of the From Bioinspired Systems and Biomedical Applications to Machine Learning, 2019

2017
Protein Folding Modeling with Neural Cellular Automata Using the Face-Centered Cubic Model.
Proceedings of the Natural and Artificial Computation for Biomedicine and Neuroscience, 2017

A Hybrid Evolutionary Algorithm for Protein Structure Prediction Using the Face-Centered Cubic Lattice Model.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

A protein folding model using the face-centered cubic lattice model.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

2016
Protein Folding Modeling with Neural Cellular Automata Using Rosetta.
Proceedings of the Genetic and Evolutionary Computation Conference, 2016

2015
Combination of Differential Evolution and Fragment-based Replacements for Protein Structure Prediction.
Proceedings of the Genetic and Evolutionary Computation Conference, 2015


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