MCF-DTI: Multi-Scale Convolutional Local–Global Feature Fusion for Drug–Target Interaction Prediction

MCF-DTI: Multi-Scale Convolutional Local–Global Feature Fusion for Drug–Target Interaction Prediction

Predicting drug–target interactions (DTIs) is a crucial step in the development of new drugs and drug repurposing. In this paper, we propose a novel drug–target prediction model called MCF-DTI. The model utilizes the SMILES representation of drugs and the sequence features of targets, employing a mu...

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Bibliographic Details
Main Authors: Jihong Wang, Ruijia He, Xiaodan Wang, Hongjian Li, Yulei Lu
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Molecules
Subjects:
drug-target interactions
MSCNN
Transformer
BFIM
SFM
Online Access:https://www.mdpi.com/1420-3049/30/2/274
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