Author

M. Rezaei

Kerman University of Medical 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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Microbiology· 1 Pharmacology & Toxicology· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 1 Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Approach:experimental assay· 1 Organism:human· 1 Assay:proteomics· 1

Frequent Co-Authors

A. R. Brochado· 1 shared A. Zannoni· 1 shared Anne Marlene LandauiD· 1 shared C. L. Müller· 1 shared C. M. Sharma· 1 shared Caroline BiojoneiD· 1 shared Christian Bjerggaard VægteriD· 1 shared Cláudia R. CecchiiD· 1 shared

Activity by Year

2024-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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1 shared paperMicrobiology

A. R. Brochado

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Author profile →

2 papers

Recent·Most cited

Antidepressants interact with sex steroid receptors and their intracellular signaling components

Shokouh Arjmand, M. Rezaei, Donato Sardella, Cláudia R. Cecchi, Rachele Rossi, Christian Bjerggaard Vægter, Heidi Kaastrup Müller, Jayashree Sahana, Morten Schak Nielsen, Anne Marlene Landau, Ulf Simonsen, Steffen Sinning, Gregers Wegener, Sâmia R.L. Joca, Caroline Biojone

This study shows antidepressants interact with estrogen receptor alpha and its signaling pathways, suggesting a new mechanism for their therapeutic effects in mood disorders.

bioRxiv · Mar 19, 2026 · PreprintPharmacology & Toxicology

Pre-trained molecular representations enable antimicrobial discovery

R. Olayo-Alarcon, M. K. Amstalden, A. Zannoni, M. Bajramovic, C. M. Sharma, A. R. Brochado, M. Rezaei, C. L. Müller

This paper introduces a deep learning framework for antimicrobial discovery that identifies new compounds with antimicrobial potential using pre-trained molecular representations.

bioRxiv · Mar 11, 2024Microbiology