DeepRank-GNN: a graph neural network framework to learn patterns in protein–protein interfaces

Abstract Motivation Gaining structural insights into the protein–protein interactome is essential to understand biological phenomena and extract knowledge for rational drug design or protein engineering. We have previously developed DeepRank, a deep-learning framework to facilitate pattern learning...

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Vydané v:	Bioinformatics (Oxford, England) Ročník 39; číslo 1
Hlavní autori:	Réau, Manon, Renaud, Nicolas, Xue, Li C, Bonvin, Alexandre M J J
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	England Oxford University Press 01.01.2023 Oxford Publishing Limited (England)
Predmet:	Artificial neural networks Availability Bioinformatics Data augmentation Deep learning Drug development Graph neural networks Graphical representations Graphical user interface Graphs Interfaces Invariants Machine learning Neural networks Neural Networks, Computer Original Paper Protein engineering Proteins Proteins - chemistry Rotation
ISSN:	1367-4811, 1367-4803, 1367-4811
On-line prístup:	Získať plný text
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