A dual-branch graph neural network architecture for drug-target binding affinity prediction
Abstract Graph Neural Networks have emerged as a powerful paradigm for artificial intelligence driven drug discovery, offering molecular representation learning that surpasses many conventional approaches. Traditional experimental pipelines are both time and resource-intensive, modern computational...
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| Autori principali: | , , , , , , , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Nature Portfolio
2026-03-01
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| Serie: | Scientific Reports |
| Accesso online: | https://doi.org/10.1038/s41598-026-43782-4 |
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