Author

Bardia Khosravi

Mayo ClinicORCID 0000-0002-8024-339XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Approach:deep learning· 1 Approach:graph neural network· 1 Research Focus:protein design· 1 Assay:protein sequence· 1 Approach:variational autoencoder· 1

Frequent Co-Authors

Bahar Saberzadeh-ArdestaniiD· 1 shared Farzad MidjaniiD· 1 shared Fateme Zahra KeshtkariD· 1 shared Mahdi MalekpouriD· 1 shared Samaneh HashemiiD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

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5 top collaborators · 10 mutual co-author links

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1 shared paperBioinformatics

Bahar Saberzadeh-ArdestaniORCID

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1 paper

Recent·Most cited

Pep-PU-GAN: Positive-Unlabeled Adversarial Learning for Peptide Function Prediction

Farzad Midjani, Samaneh Hashemi, Fateme Zahra Keshtkar, Mahdi Malekpour, Bahar Saberzadeh-Ardestani, Bardia Khosravi

Pep-PU-GAN improves peptide function prediction using PU learning and GANs with graph neural networks, achieving high F1 and AUROC scores on neuropeptide classification.

bioRxiv · Sep 18, 2026 · PreprintBioinformatics