NTHRYS › Internships › Ai Drug Repurposing › Graph Neural Networks Drug Target Prediction

Knowledge Graph Embeddings with Graph Neural Networks for Drug Indication Transfer

Ai Drug Repurposing

Graph Neural Networks Drug Target Prediction

Variant

Pay · Join

Step 4 of 5Select variant

Field

▾

Category

▾

Focused area

▾

You might prefer

Graph Neural Networks for Protein-Drug Binding Affinity Prediction Heterogeneous Graph Learning for Multi-Modal Drug Repurposing Networks Message Passing Neural Networks for Target-Agnostic Drug Mechanism Discovery Attention-Based Graph Transformers for Drug-Disease Similarity Learning Temporal Graph Neural Networks for Drug Response Evolution Tracking Explainable Graph Neural Networks for Transparent Target Prioritization Graph Autoencoders for Novel Drug-Target Space Exploration Multi-Relational Graph Neural Networks for Polypharmacology Target Mapping Contrastive Learning on Molecular Graphs for Cross-Indication Drug Transfer

Ai Drug Repurposing › Graph Neural Networks Drug Target Prediction

Knowledge Graph Embeddings with Graph Neural Networks for Drug Indication Transfer

This research combines knowledge graph embedding techniques with graph neural network architectures to predict new therapeutic indications by leveraging vast biomedical literature and experimental databases. The integration produces evidence-ranked drug repurposing candidates supported by multi-source biological knowledge for hypothesis validation.

🎓 TYPE

🌐 MODE

⏱

📚 Academic: Thesis & PPT assistance included🧪 Tech: Master the protocols hands-on📝 Research > 3 months: Publication co-authorship in a Scopus-indexed journal

Select your preferenceChoose Type, Mode, Duration to view Titles

Internship Type

Mode

Duration

🎯

Choose your preferences above

Select Type, Mode and Duration to view available internship titles and fees.