DeepMPF: deep learning framework for predicting drug–target interactions based on multi-modal representation with meta-path semantic analysis

DeepMPF: deep learning framework for predicting drug–target interactions based on multi-modal representation with meta-path semantic analysis

Abstract Background Drug-target interaction (DTI) prediction has become a crucial prerequisite in drug design and drug discovery. However, the traditional biological experiment is time-consuming and expensive, as there are abundant complex interactions present in the large size of genomic and chemic...

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Bibliographic Details
Main Authors: Zhong-Hao Ren, Zhu-Hong You, Quan Zou, Chang-Qing Yu, Yan-Fang Ma, Yong-Jian Guan, Hai-Ru You, Xin-Fei Wang, Jie Pan
Format: Article
Language:English
Published: BMC 2023-01-01
Series:Journal of Translational Medicine
Subjects:
Drug–protein interactions
Multi-modal
Meta-path
Sequence analysis
Joint learning
Natural language processing
Online Access:https://doi.org/10.1186/s12967-023-03876-3

Internet

https://doi.org/10.1186/s12967-023-03876-3

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