Utilizing graph machine learning within drug discovery and development

Graph machine learning (GML) is receiving growing interest within the pharmaceutical and biotechnology industries for its ability to model biomolecular structures, the functional relationships between them, and integrate multi-omic datasets - amongst other data types. Herein, we present a multidisci...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	Briefings in bioinformatics 2021-11, Vol.22 (6)
Hauptverfasser:	Gaudelet, Thomas, Day, Ben, Jamasb, Arian R, Soman, Jyothish, Regep, Cristian, Liu, Gertrude, Hayter, Jeremy B R, Vickers, Richard, Roberts, Charles, Tang, Jian, Roblin, David, Blundell, Tom L, Bronstein, Michael M, Taylor-King, Jake P
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Computer Graphics Drug Development - methods Drug Discovery - methods Drug Repositioning Machine Learning Models, Molecular Molecular Structure Neural Networks, Computer Review
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!