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- Title
Protein structure prediction with energy minimization and deep learning approaches.
- Authors
Filgueiras, Juan Luis; Varela, Daniel; Santos, José
- 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 prediction results for a wide variety of proteins, are discussed. On the other hand, methods based on protein conformational energy minimization and with different search strategies are analyzed. In this latter case, our methods based on a memetic combination between differential evolution and the fragment replacement technique are included, incorporating also the possibility of niching in the evolutionary search. Different proteins have been used to analyze the pros and cons in both approaches, proposing possibilities of integration of both alternatives.
- Subjects
PROTEIN structure prediction; DEEP learning; DIFFERENTIAL evolution
- Publication
Natural Computing, 2023, Vol 22, Issue 4, p659
- ISSN
1567-7818
- Publication type
Article
- DOI
10.1007/s11047-023-09943-4