DisProt: intrinsic protein disorder annotation in 2020.
András HatosBorbála Hajdu-SoltészAlexander Miguel MonzonNicolas PalopoliLucía ÁlvarezBurcu Aykaç FasClaudio BassotGuillermo I. BenítezMartina BevilacquaAnastasia ChasapiLucía B. ChemesNorman E. DaveyRadoslav DavidovicA. Keith DunkerArne ElofssonJulien GobeillNicolás S. González FoutelGovindarajan SudhaMainak GuharoyTamás HorváthValentin IglesiasAndrey V. KajavaOrsolya P. KovácsJohn LambMatteo LambrughiTamas LazarJeremy Y. LeclercqEmanuela LeonardiSandra Macedo-RibeiroMauricio Macossay-CastilloEmiliano MaianiJosé A. MansoCristina Marino BusljeElizabeth Martínez-PérezBálint MészárosIvan MiceticGiovanni MinerviniNikoletta MurvaiMarco NecciChristos A. OuzounisMátyás PajkosLisanna PaladinRita PancsaElena PapaleoGustavo D. ParisiEmilie PaschePedro J. Barbosa PereiraVasilis J. PromponasJordi PujolsFederica QuagliaPatrick RuchMarco SalvatoreÉva SchádBeáta SzabóTamás SzaniszlóStella TamanaÁgnes TantosNevena VeljkovicSalvador VenturaWim F. VrankenZsuzsanna DosztányiPeter TompaSilvio C. E. TosattoDamiano PiovesanPublished in: Nucleic Acids Res. (2020)
Keyphrases
- protein functional
- protein structure
- amino acids
- protein sequences
- active learning
- semantic annotation
- automatic annotation
- protein structure prediction
- image annotation
- metadata
- protein interaction data
- automatic image annotation
- mass spectrometry data
- predicting protein
- dead end
- protein folding
- image retrieval
- protein function
- pairwise
- molecular structures
- annotation tool
- manual annotation
- drug discovery
- protein protein interactions
- visual features