Author

Hannie Yousefabadi

University of Tehran

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· 2

Signature Assays, Organisms & Methods

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Approach:machine learning (classical)· 2 Organism:bacteria (other)· 1 Research Focus:drug response / drug discovery· 1 Research Focus:software / tool· 1 Approach:statistical model· 1

Frequent Co-Authors

Amin RamezaniiD· 1 shared Mahya MehrmohamadiiD· 1 shared Mehrdad AmeriiD· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

3 top collaborators · 1 mutual co-author link

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1 shared paperBioinformatics

Amin RamezaniORCID

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2 papers

Recent·Most cited

BioinformaticsPLoS Computational BiologyPeer-reviewedOct 5, 2026

Bioactivity-Driven Prediction of Antibacterial Synergy Using Machine Learning Models

Hannie Yousefabadi, Mahya Mehrmohamadi

This paper develops a machine learning framework to predict antibacterial synergy using multi-level bioactivity features and demonstrates its performance under rigorous cross-validation.

1 citation

bacteria (other)machine learning (classical)

𝕏 PostBluesky

BioinformaticsbioRxivPreprintJan 2, 2026

BioTrouble: A Multi-Agent Workflow for Troubleshooting Molecular Biology Techniques

Mehrdad Ameri, Hannie Yousefabadi, Amin Ramezani

BioTrouble is a multi-agent AI workflow that helps troubleshoot molecular biology techniques using a RAG framework and small language models.

DOI 10.64898/2025.12.30.697016

statistical modelmachine learning (classical)

𝕏 PostBluesky