Multi-source transfer learning with Graph Neural Network for excellent modelling the bioactivities of ligands targeting orphan G protein-coupled receptors

Multi-source transfer learning with Graph Neural Network for excellent modelling the bioactivities of ligands targeting orphan G protein-coupled receptors

G protein-coupled receptors (GPCRs) have been the targets for more than 40% of the currently approved drugs. Although neural networks can effectively improve the accuracy of prediction with the biological activity, the result is undesirable in the limited orphan GPCRs (oGPCRs) datasets. To this end,...

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Bibliographic Details
Main Authors: Shizhen Huang, ShaoDong Zheng, Ruiqi Chen
Format: Article
Language:English
Published: AIMS Press 2023-01-01
Series:Mathematical Biosciences and Engineering
Subjects:
g protein-coupled receptors (gpcrs)
multi-source transfer learning
graph neural network
biological activity
Online Access:https://www.aimspress.com/article/doi/10.3934/mbe.2023121?viewType=HTML

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https://www.aimspress.com/article/doi/10.3934/mbe.2023121?viewType=HTML

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