Author

Henrik Boström

KTH Royal Institute of TechnologyORCID 0000-0001-8382-0300Unclaimed 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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Approach:deep learning· 1 Research Focus:gene regulatory network inference· 1 Approach:graph neural network· 1 Approach:machine learning (classical)· 1 Assay:protein sequence· 1 Assay:protein structure· 1

Frequent Co-Authors

Aymen Qabel· 1 shared Giannis NikolentzosiD· 1 shared Johannes F. LutzeyeriD· 1 shared Michail ChatzianastasisiD· 1 shared Michalis VazirgiannisiD· 1 shared Sofiane EnnadiriD· 1 shared

Activity by Year

2022-2022 · peak 1/yr

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6 top collaborators · 15 mutual co-author links

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1 shared paperBioinformatics

Aymen Qabel

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1 paper

Recent·Most cited

BioinformaticsbioRxivPreprintOct 6, 2022

Advancing Antibiotic Resistance Classification with Deep Learning Using Protein Sequence and Structure

Aymen Qabel, Sofiane Ennadir, Giannis Nikolentzos…·Michalis Vazirgiannis

This paper develops two deep learning models using protein sequence and structure to classify antibiotic resistant genes, achieving over 73% accuracy across 18 categories.

5 citations

protein sequenceprotein structure

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