Author

Mahdi Malekpour

Shiraz University of Medical SciencesORCID 0000-0003-2784-0002Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Systems Biology· 1

Signature Assays, Organisms & Methods

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Approach:graph neural network· 2 Organism:bacteria (other)· 1 Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1

Frequent Co-Authors

Farzad MidjaniiD· 2 shared Fateme Zahra KeshtkariD· 2 shared Ali JafarizadehiD· 1 shared Amir Hossein RajabiiD· 1 shared Amirhossein Dehqan Banadaki· 1 shared Mohammadreza Shaghouzi· 1 shared Nima RahimikashkooliiD· 1 shared Paweł PławiakiD· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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2 shared papersSystems Biology

Farzad MidjaniORCID

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2 papers

Recent·Most cited

Systems BiologybioRxivPreprintAug 21, 2026

A Biologically Informed Heterogeneous Graph Neural Network for Multi-Task Prediction of ncRNA-Metastasis-Cancer Interactions

Farzad Midjani, Mohammadreza Shaghouzi, Amirhossein Dehqan Banadaki…·Saeed Soleymanjahi

The paper introduces a heterogeneous graph neural network to predict ncRNA interactions with cancer types and metastatic events, achieving high AUROC and F1 scores.

DOI 10.64898/2026.08.18.745571

graph neural network

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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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