Combining protein sequences and structures with transformers and equivariant graph neural networks to predict protein function

Abstract Motivation Millions of protein sequences have been generated by numerous genome and transcriptome sequencing projects. However, experimentally determining the function of the proteins is still a time consuming, low-throughput, and expensive process, leading to a large protein sequence-funct...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Frimpong Boadu, Hongyuan Cao, Jianlin Cheng
Format: Artigo
Sprache:Englisch
Veröffentlicht: 2023
Online-Zugang:https://doi.org/10.1093/bioinformatics/btad208
https://academic.oup.com/bioinformatics/article-pdf/39/Supplement_1/i318/50741489/btad208.pdf
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!