Author

Roohallah Alizadehsani

Deakin UniversityORCID 0000-0003-0898-5054Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Signature Assays, Organisms & Methods

Click to filter · or open tag

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 Amir Hossein RajabiiD· 1 shared Farzad MidjaniiD· 1 shared Fateme Zahra KeshtkariD· 1 shared Mahdi MalekpouriD· 1 shared Paweł PławiakiD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

Co-Author Collaboration Network

6 top collaborators · 15 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

1 shared paperBioinformatics

Ali JafarizadehORCID

Mutual co-authors in cluster

Author profile →

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

𝕏 PostBluesky