Author

Minghua Zhao

University of Science and Technology of ChinaORCID 0000-0001-6450-0168Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Approach:graph neural network· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Min YuaniD· 1 shared Steven X. XuiD· 1 shared Yaning YangiD· 1 shared

Activity by Year

2022-2022 · peak 1/yr

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3 top collaborators · 3 mutual co-author links

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1 shared paperBioinformatics

Min YuanORCID

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1 paper

Recent·Most cited

BioinformaticsIEEE Transactions on Computational Biology and BioinformaticsPeer-reviewedNov 29, 2022

CPGL: Prediction of compound-protein interaction by integrating graph attention network with long short-term memory neural network

Minghua Zhao, Min Yuan, Yaning Yang, Steven X. Xu

CPGL predicts compound-protein interactions using a hybrid model of graph attention networks and LSTM, outperforming existing methods on multiple datasets.

22 citations

deep learninggraph neural network

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