Enhancing drug-target affinity prediction through pre-trained language model and gated multi-head attention

Enhancing drug-target affinity prediction through pre-trained language model and gated multi-head attention

Drug development requires accurate drug-target interaction (DTI) information to evaluate a drug's potential. However, existing current methods for estimating DTI are slow and expensive. Deep learning offers an efficient and effective alternative by leveraging sequence data for prediction. Never...

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Bibliographic Details
Main Authors: Ghina Khoerunnisa, Isman Kurniawan
Format: Article
Language:English
Published: Universitas Ahmad Dahlan 2025-05-01
Series:IJAIN (International Journal of Advances in Intelligent Informatics)
Subjects:
drug target affinity
pre-trained language model
gated multi-head attention
deep learning
regression
Online Access:https://ijain.org/index.php/IJAIN/article/view/1910
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