Author

Danh Bui-Thi

University of AntwerpORCID 0000-0002-4541-5547Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Assay:protein sequence· 2 Research Focus:benchmarking· 1 Research Focus:clustering· 1 Research Focus:drug response / drug discovery· 1 Approach:graph neural network· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Approach:statistical model· 1

Frequent Co-Authors

Kris LaukensiD· 2 shared Pieter MeysmaniD· 2 shared Benson OgunjimiiD· 1 shared Emmanuel RivièreiD· 1 shared Nicolas De NeuteriD· 1 shared Sofie GielisiD· 1 shared

Activity by Year

2018-2022 · peak 1/yr

Co-Author Collaboration Network

6 top collaborators · 12 mutual co-author links

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2 shared papersBioinformatics

Kris LaukensORCID

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2 papers

Recent·Most cited

BioinformaticsPLoS ONEPeer-reviewedJul 21, 2022

Predicting compound-protein interaction using hierarchical graph convolutional networks

Danh Bui-Thi, Emmanuel Rivière, Pieter Meysman, Kris Laukens

This paper introduces a hierarchical graph convolutional network for predicting compound-protein interactions using molecular structure and protein sequences, showing improved performance over existing methods.

6 citations

protein sequencegraph neural network

𝕏 PostBluesky

BioinformaticsBioinformaticsPeer-reviewedSep 20, 2018

The workings and failings of clustering T-cell receptor beta-chain sequences without a known epitope preference

Pieter Meysman, Nicolas De Neuter, Sofie Gielis…·Kris Laukens

The paper evaluates unsupervised clustering methods for T-cell receptor sequences and finds distinct clusters that target the same epitopes.

68 citations

humanprotein sequence

𝕏 PostBluesky