Browsing by Author "Varela, Daniel"
Now showing items 1-5 of 5
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Evolutionary computation methods for protein structure prediction and for the computational modeling of the protein folding process
Varela, Daniel (2019)[Abstract] This thesis was focused on the use of hybrid evolutionary computation methods for the Protein Structure Prediction (PSP) problem, as well as a first attempt to model protein folding with machine learning, using ... -
Evolving Cellular Automata Schemes for Protein Folding Modeling Using the Rosetta Atomic Representation
Varela, Daniel; Santos Reyes, José (Springer, 2022)[Abstract] Protein folding is the dynamic process by which a protein folds into its final native structure. This is different to the traditional problem of the prediction of the final protein structure, since it requires ... -
Mejora de la motivación del alumnado mediante la realización de un debate en la materia de Sistemas Inteligentes
Bolón-Canedo, Verónica; Alonso-Betanzos, Amparo; Alonso Ríos, David; Fernández-Varela, Isaac; Varela, Daniel (Asociación de Enseñantes Universitarios de la Informática (AENUI), 2018)[Resumen]: En nuestra asignatura “Sistemas Inteligentes” del Grado en Ingeniería Informática de la Universidad da Coruña existe una brecha entre los contenidos que se imparten (más teóricos y sentando las bases de la ... -
Niching methods integrated with a differential evolution memetic algorithm for protein structure prediction
Varela, Daniel; Santos Reyes, José (Elsevier, 2022-06)[Abstract]: A memetic version between an evolutionary algorithm (differential evolution) and the local search provided by protein fragment replacements was defined for protein structure prediction. In this problem, it is ... -
Protein structure prediction with energy minimization and deep learning approaches
Filgueiras Rilo, Juan Luis; Varela, Daniel; Santos Reyes, José (Springer Science and Business Media B.V., 2023-12)[Abstract]: In this paper we discuss the advantages and problems of two alternatives for ab initio protein structure prediction. On one hand, recent approaches based on deep learning, which have significantly improved ...
