Dual modality feature fused neural network integrating binding site information for drug target affinity prediction

Dual modality feature fused neural network integrating binding site information for drug target affinity prediction

Abstract Accurately predicting binding affinities between drugs and targets is crucial for drug discovery but remains challenging due to the complexity of modeling interactions between small drug and large targets. This study proposes DMFF-DTA, a dual-modality neural network model integrates sequenc...

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Bibliographic Details
Main Authors: Haohuai He, Guanxing Chen, Zhenchao Tang, Calvin Yu-Chian Chen
Format: Article
Language:English
Published: Nature Portfolio 2025-01-01
Series:npj Digital Medicine
Online Access:https://doi.org/10.1038/s41746-025-01464-x
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