Author

Xiang Gong

Princeton UniversityORCID 0000-0002-0170-2982Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Assay:protein sequence· 1 Approach:statistical model· 1

Frequent Co-Authors

Bomin WeiiD· 2 shared Yue ZhangiD· 1 shared Yuzhe SuniD· 1 shared

Activity by Year

2021-2022 · peak 1/yr

Co-Author Collaboration Network

3 top collaborators · 2 mutual co-author links

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2 shared papersBioinformatics

Bomin WeiORCID

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2 papers

Recent·Most cited

BioinformaticsScientific ReportsPeer-reviewedOct 28, 2022

DeepLPI: a novel deep learning-based model for protein-ligand interaction prediction for drug repurposing

Bomin Wei, Yue Zhang, Xiang Gong

DeepLPI is a deep learning model for predicting protein-ligand interactions, outperforming existing methods on multiple datasets.

53 citationstop 2%

protein sequencedeep learning

BioinformaticsbioRxivPreprintAug 11, 2021

Modeling the SARS-CoV-2 mutation based on geographical regions and time

Bomin Wei, Yuzhe Sun, Xiang Gong

The paper models SARS-CoV-2 mutations across geographical regions and time, finding location-specific mutations and using ARIMA to predict short-term frequency changes.

DOI 10.1101/2021.08.11.455941

statistical model