|
gptkbp:instanceOf
|
gptkb:artificial_intelligence
|
|
gptkbp:accuracy
|
atomic accuracy for many proteins
|
|
gptkbp:application
|
protein structure prediction
|
|
gptkbp:CASP14Performance
|
outperformed other methods
|
|
gptkbp:citation
|
high
|
|
gptkbp:collaboratesWith
|
gptkb:EMBL
gptkb:European_Bioinformatics_Institute
|
|
gptkbp:competition
|
gptkb:CASP14
|
|
gptkbp:database
|
gptkb:AlphaFold_Protein_Structure_Database
|
|
gptkbp:developedBy
|
gptkb:DeepMind
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
AlphaFold2
|
|
gptkbp:impact
|
accelerated protein research
|
|
gptkbp:influenced
|
computational biology
protein science
|
|
gptkbp:input
|
amino acid sequence
|
|
gptkbp:language
|
gptkb:Python
|
|
gptkbp:license
|
Apache 2.0
|
|
gptkbp:notablePublication
|
gptkb:Nature,_2021
|
|
gptkbp:notableUser
|
gptkb:learned_society
|
|
gptkbp:openSource
|
gptkb:GitHub
yes
July 2021
|
|
gptkbp:output
|
3D protein structure
|
|
gptkbp:predecessor
|
gptkb:AlphaFold
|
|
gptkbp:releaseYear
|
2020
|
|
gptkbp:supportsAlgorithm
|
deep learning
|
|
gptkbp:usedIn
|
structural biology
bioinformatics
drug discovery
|
|
gptkbp:website
|
https://deepmind.com/research/open-source/alphafold
|
|
gptkbp:bfsParent
|
gptkb:AlphaFold
|
|
gptkbp:bfsLayer
|
5
|