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Graph Neural Networks in Modern AI-Aided Drug Discovery by Harshvardhan Singh is a document available to read on EtoBox.

What is Graph Neural Networks in Modern AI-Aided Drug Discovery about?

This review discusses the application of graph neural networks (GNNs) in AI-aided drug discovery, highlighting their ability to model molecular graphs and learn complex features of drug-like molecules. It covers methodological advancements, applications in molecular property prediction, virtual screening, and synthesis planning, while addressing challenges faced in real-world drug discovery. The review concludes with insights into future directions for GNN integration in drug discovery processes.

Author

Harshvardhan Singh

Language

EN