SuperTarget and Matador: resources for exploring drug-target relationships

Gunther, S., Kuhn, M., Dunkel, M., Campillos, M., Senger, C., Petsalaki, E., Ahmed, J., Urdiales, E. G., Gewiess, A., Jensen, L. J., Schneider, R., Skoblo, R., Russell, R. B., Bourne, P. E., Bork, P., Preissner, R.·2007·Nucleic Acids Research

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  43. TriCvT-DTI: Predicting Drug–Target Interactions Using Trimodal Representations and Convolutional Vision Transformers
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  44. Prediction of drug-target interactions using popular Collaborative Filtering methods
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  47. MOKPE: drug–target interaction prediction via manifold optimization based kernel preserving embedding
    Oğuz C. Binatlı, Mehmet Gönen · 2023 · BMC Bioinformatics
  48. Cross-Modal Method Based on Self-Attention Neural Networks for Drug-Target Prediction
    Litao Zhang, Chunming Yang, Chunlin He, Hui Zhang · 2023 · Lecture notes in computer science
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  50. Predicting Compound-Protein Interaction by Deepening the Systemic Background via Molecular Network Feature Embedding
    Han Wang, Hangxu Zhu, Wenhao Li, Ming Liu, Li Zhang, Dong He Xu · 2022 · IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
  51. Knowledge-Based Drug Repurposing: A Rational Approach Towards the Identification of Novel Medical Applications of Known Drugs
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