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Graph learning modules enhance drug-target interaction predictions

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The identification of drug-target Interactions (DTIs) represents a pivotal link in the process of drug development and design. It plays a crucial role in narrowing the screening range of candidate drug molecules, thereby facilitating the reuse of drug, reducing the cost of drug development, and improving the efficiency of drug development.

Graph learning modules enhance drug-target interaction predictions retrieved 3 July 2024 from https://phys.org/news/2024-07-graph-modules-drug-interaction.html

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