Author

Fatemeh Nasiri

Institute for Advanced Studies in Basic Sciences

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 3

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Research Focus:drug response / drug discovery· 2 Assay:proteomics· 2 Research Focus:benchmarking· 1 Approach:experimental assay· 1 Approach:graph neural network· 1 Organism:human· 1 Assay:metagenomics· 1

Frequent Co-Authors

Mohsen HooshmandiD· 2 shared Aaron L. FelleriD· 1 shared Abel GurungiD· 1 shared Ajasja LjubetičiD· 1 shared Akshay ChennaiD· 1 shared Alberto Perez· 1 shared Alejandro Diaz· 1 shared Alex M. AbeliD· 1 shared

Activity by Year

2024-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 36 mutual co-author links

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2 shared papersBioinformatics

Mohsen HooshmandORCID

Author profile →

3 papers

Recent·Most cited

Validation and analysis of 12,000 AI-driven CAR-T designs in the Bits to Binders competition

Clayton W. Kosonocky, Alex M. Abel, Aaron L. Feller, Amanda Cifuentes Rieffer, Phillip R. Woolley, Jakub Lála, Delbert S. Barth, Tynan Gardner, Bits to Binders Competitors, Daniel Acosta, Stefano Angioletti‐Uberti, Vinayak Annapure, Neil Anthony, Rana A Barghout, Max Beining, , Rohit Satija

The paper validates and analyzes 12,000 AI-designed CAR-T binders from a global competition, identifying successful designs and factors improving their performance.

Molecular Systems Biology · Oct 8, 2026Peer-reviewedBioinformatics

B-SMART-Former: An Explainable Transformer-Based Deep Learning Model for Predicting Drug-Drug Interactions Between Biotech and Small-Molecule Drugs

Fatemeh Nasiri, Mohsen Hooshmand, Mahdi Nouroozi

B-SMART-Former predicts drug-drug interactions between biotech and small-molecule drugs using an explainable transformer-based model, achieving high AUROC and AUPR scores.

bioRxiv · Jul 27, 2026 · PreprintBioinformatics

A Graph-Attention-Based Deep Learning Network for Predicting Biotech-Small-Molecule Drug Interactions

Fatemeh Nasiri, Mohsen Hooshmand

This paper introduces BSI-Net, a graph attention network for predicting interactions between biotech and small-molecule drugs, showing improved performance over existing methods.

Bioinformatics Advances · Dec 26, 2024Peer-reviewedBioinformatics