Sequence alignment using machine learning for accurate template-based protein structure prediction.
Shuichiro MakigakiTakashi IshidaPublished in: Bioinform. (2020)
Keyphrases
- protein structure prediction
- sequence alignment
- machine learning
- computational biology
- protein sequences
- amino acids
- pairwise
- protein fold recognition
- drug design
- protein structure
- dynamic programming
- protein homology
- graph theory
- machine learning methods
- learning algorithm
- secondary structure
- coarse grained
- amino acid sequences
- protein function
- binding sites
- machine learning algorithms
- natural language processing
- data mining
- statistical methods
- phylogenetic analysis
- gpu accelerated
- multiple sequence alignment
- sequence data
- fine grained
- social networks
- protein folding
- molecular biology