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GSAML-DTA: An interpretable drug-target binding affinity prediction model based on graph neural networks with self-attention mechanism and mutual information
Research article (Computers in Biology and Medicine, 2022) · cited 50× · AI/ML
GSAML-DTA: An interpretable drug-target binding affinity prediction model based on graph neural networks with self-attention mechanism and mutual information
Summary
GSAML-DTA: An interpretable drug-target binding affinity prediction model based on graph neural networks with self-attention mechanism and mutual information is a scholarly article[1].
Key Facts
GSAML-DTA: An interpretable drug-target binding affinity prediction model based on graph neural networks with self-attention mechanism and mutual information's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). GSAML-DTA: An interpretable drug-target binding affinity prediction model based on graph neural networks with self-attention mechanism and mutual information. Retrieved May 24, 2026, from https://4ort.xyz/entity/gsaml-dta-an-interpretable-drug-target-binding-affinity-prediction-model-based-on-graph-neural-networks-with-self-attent
MLA“GSAML-DTA: An interpretable drug-target binding affinity prediction model based on graph neural networks with self-attention mechanism and mutual information.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/gsaml-dta-an-interpretable-drug-target-binding-affinity-prediction-model-based-on-graph-neural-networks-with-self-attent.
BibTeX@misc{4ortxyz_gsaml-dta-an-interpretable-drug-target-binding-affinity-prediction-model-based-on-graph-neural-networks-with-self-attent_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{GSAML-DTA: An interpretable drug-target binding affinity prediction model based on graph neural networks with self-attention mechanism and mutual information}}, year = {2026}, url = {https://4ort.xyz/entity/gsaml-dta-an-interpretable-drug-target-binding-affinity-prediction-model-based-on-graph-neural-networks-with-self-attent}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): GSAML-DTA: An interpretable drug-target binding affinity prediction model based on graph neural networks with self-attention mechanism and mutual information — https://4ort.xyz/entity/gsaml-dta-an-interpretable-drug-target-binding-affinity-prediction-model-based-on-graph-neural-networks-with-self-attent (retrieved 2026-05-24)
