Integrating thermodynamic and sequence contexts improves protein-RNA binding prediction.
Yufeng SuYunan LuoXiaoming ZhaoYang LiuJian PengPublished in: PLoS Comput. Biol. (2019)
Keyphrases
- secondary structure
- tertiary structure
- sequence analysis
- protein tertiary structure
- rna secondary structures
- protein secondary structure
- genomic sequences
- rna secondary structure prediction
- genome sequences
- hiv protease
- subcellular localization
- contact map
- predicting protein
- protein sequences
- protein structure
- protein structure prediction
- sequence similarity
- rna sequences
- amino acid sequences
- psi blast
- dna binding
- mhc class ii
- sequence data
- prediction accuracy
- multiple sequence alignments
- transcription factor binding sites
- genome wide
- protein secondary structure prediction
- multiple sequence alignment
- amino acids
- computational methods
- multiple alignment
- contact maps
- protein interaction
- remote homology detection
- experimentally determined
- rna molecules
- drug design
- protein function
- cis regulatory
- stochastic context free grammars
- physicochemical properties
- protein interaction data
- molecular biology
- structural features
- binding peptides
- protein structural
- biological sequences
- free energy