Supervised learning to tune simulated annealing for in silico protein structure prediction.
Alejandro Marcos AlvarezFrancis MaesLouis WehenkelPublished in: ESANN (2012)
Keyphrases
- protein structure prediction
- simulated annealing
- supervised learning
- coarse grained
- protein sequences
- protein fold recognition
- graph theory
- protein structure
- unsupervised learning
- computational biology
- amino acids
- fine grained
- genetic algorithm
- drug design
- protein homology
- tabu search
- training data
- metaheuristic
- combinatorial optimization
- semi supervised
- protein folding
- machine learning
- evolutionary algorithm
- biological data
- active learning
- learning algorithm
- secondary structure
- natural language
- co occurrence