Weekly ThreatsDay recap: old bugs, fake tools, shady payload tricks, AI mishaps, and the usual reminder that the internet is ...

Abstract: Many transfer learning methods have been proposed to implement fault transfer diagnosis, and their loss functions are usually composed of task-related losses, distribution distance losses, ...

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This repository contains the MDDTA model, a deep learning-based approach for drug target binding affinity prediction. The code and data provided facilitate training the model and conducting drug ...

Abstract: Precise drug-target affinity (DTA) prediction is essential for accelerating drug discovery pipeline. To improve prediction accuracy, in this paper, we utilized two new datasets based on the ...