A systematic benchmark of machine learning methods for protein-RNA interaction prediction.
Marc HorlacherGiulia CantiniJulian HessePatrick SchinkeNicolas GoedertShubhankar LondheLambert MoyonAnnalisa MarsicoPublished in: Briefings Bioinform. (2023)
Keyphrases
- protein interaction
- subcellular localization
- protein secondary structure
- secondary structure
- contact map
- protein protein interactions
- protein structure prediction
- predicting protein
- prediction accuracy
- contact maps
- rna secondary structure prediction
- prediction error
- drug design
- computational methods
- protein function prediction
- human computer interaction
- protein homology
- experimentally determined
- nucleotide sequences
- protein tertiary structure
- protein sequences
- protein structure
- structural motifs
- protein interaction data
- protein secondary structure prediction
- functional modules
- gene expression
- dna sequences
- genome wide
- genome sequences
- protein function
- protein folding
- sequence similarity
- rna secondary structures
- biological systems
- sequence data
- systems biology
- amino acids
- gene prediction
- sequence analysis
- prediction model
- remote homology detection
- user interaction