Accurate protein function prediction via graph attention networks with predicted structure information

Accurate protein function prediction via graph attention networks with predicted structure information

Abstract Experimental protein function annotation does not scale with the fast-growing sequence databases. Only a tiny fraction (

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Veröffentlicht in:Briefings in bioinformatics 2022-01, Vol.23 (1)
Hauptverfasser: Lai, Boqiao, Xu, Jinbo
Format: Artikel
Sprache:eng
Schlagworte:
Amino Acid Sequence
Annotations
Area Under Curve
Computational Biology - methods
Computer applications
Databases, Protein
Deep learning
Domains
Embedding
Homology
Molecular Sequence Annotation
Ontology
Predictions
Problem Solving Protocol
Protein structure
Proteins
Proteins - chemistry
Sequences
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Zusammenfassung:Abstract Experimental protein function annotation does not scale with the fast-growing sequence databases. Only a tiny fraction (
ISSN:1467-5463
1477-4054
1477-4054
DOI:10.1093/bib/bbab502