Author

Amir Hossein Rajabi

Shiraz University of Medical SciencesORCID 0009-0004-1321-4187Unclaimed 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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Organism:bacteria (other)· 1 Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Approach:graph neural network· 1

Frequent Co-Authors

Ali JafarizadehiD· 1 shared Farzad MidjaniiD· 1 shared Fateme Zahra KeshtkariD· 1 shared Mahdi MalekpouriD· 1 shared Paweł PławiakiD· 1 shared Roohallah AlizadehsaniiD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

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6 top collaborators · 15 mutual co-author links

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1 shared paperBioinformatics

Ali JafarizadehORCID

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1 paper

Recent·Most cited

BioinformaticsbioRxivPreprintJun 11, 2026

A Deep Hypergraph Learning Model for Predicting Antimicrobial Combination Effects Across Bacterial Targets

Farzad Midjani, Amir Hossein Rajabi, Fateme Zahra Keshtkar…·Paweł Pławiak

This paper introduces a hypergraph neural network to predict antimicrobial combination effects across bacterial targets, achieving high accuracy and F1-scores in classifying synergy, antagonism, and non-interaction.

DOI 10.64898/2026.06.09.731104

bacteria (other)deep learning

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