Predicting drug and target interaction with dilated reparameterize convolution

Predicting drug and target interaction with dilated reparameterize convolution

Abstract Predicting drug-target interaction (DTI) stands as a pivotal and formidable challenge in pharmaceutical research. Many existing deep learning methods only learn the high-dimensional representation of ligands and targets on a small scale. However, it is difficult for the model to obtain the...

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Bibliographic Details
Main Authors: Moping Deng, Jian Wang, Yiming Zhao, Yongjia Zhao, Hao Cao, Zhuo Wang
Format: Article
Language:English
Published: Nature Portfolio 2025-01-01
Series:Scientific Reports
Subjects:
Drug-target interaction
Large-kernel convolution
Attention mechanism
Drug screening
Deep learning
Online Access:https://doi.org/10.1038/s41598-025-86918-8
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https://doi.org/10.1038/s41598-025-86918-8

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