A novel hybrid framework for metabolic pathways prediction based on the graph attention network

A novel hybrid framework for metabolic pathways prediction based on the graph attention network

Abstract Background Making clear what kinds of metabolic pathways a drug compound involves in can help researchers understand how the drug is absorbed, distributed, metabolized, and excreted. The characteristics of a compound such as structure, composition and so on directly determine the metabolic...

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Bibliographic Details
Main Authors: Zhihui Yang, Juan Liu, Hayat Ali Shah, Jing Feng
Format: Article
Language:English
Published: BMC 2022-09-01
Series:BMC Bioinformatics
Subjects:
Multi-class classification
Metabolic pathway prediction
Graph attention network
Deep learning
Graph embedding
Online Access:https://doi.org/10.1186/s12859-022-04856-y

Internet

https://doi.org/10.1186/s12859-022-04856-y

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