SePreSA: a server for the prediction of populations susceptible to serious adverse drug reactions implementing the methodology of a chemical-protein interactome.
Lun YangHeng LuoJian ChenQinghe XingLin HePublished in: Nucleic Acids Res. (2009)
Keyphrases
- protein interaction
- protein protein interactions
- subcellular localization
- drug design
- predicting protein
- drug discovery
- protein structure prediction
- contact map
- protein secondary structure
- prediction accuracy
- protein function
- chemical compounds
- client server
- gene expression
- protein secondary structure prediction
- prediction model
- protein complexes
- adverse drug reactions
- computational methods
- protein folding
- mass spectrometry
- contact maps
- web server
- protein sequences
- amino acids
- multiple sequence alignments
- protein interaction data
- protein chains
- remote homology detection
- high throughput
- protein tertiary structure
- gene prediction
- virtual screening
- chemical reactions
- protein function prediction
- network topology
- interaction networks
- biological data
- biological systems
- sequence analysis
- systems biology
- data sets
- functional modules
- sequence alignment