SVDTI: Stacked variational autoencoder with SMILES-based drug representations for identifying drug-target interaction

The rapid identification of novel drug–target interactions (DTIs) remains a critical challenge in drug development, as traditional experimental methods are both resource-intensive and time-consuming. Motivated by the need to accelerate drug discovery and reduce experimental costs, computational stra...

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Veröffentlicht in:	Neurocomputing (Amsterdam) Jg. 661; S. 131837
1. Verfasser:	Ha, Jihwan
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 14.01.2026
Schlagworte:	Drug Drug-target interaction Neural collaborative filtering Protein Stacked variational autoencoder Target Drug Target Neural collaborative filtering Stacked variational autoencoder Drug-target interaction Protein
ISSN:	0925-2312
Online-Zugang:	Volltext
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