Author

Gergely Szabó

ORCID 0009-0002-5700-6051Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Pharmacology & Toxicology· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Approach:biophysical modeling· 1 Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1

Frequent Co-Authors

András EckeriD· 1 shared Attila Csikász-NagyiD· 1 shared Erzsébet FichóiD· 1 shared Istvan Zoltan RegulyiD· 1 shared János SzalmaiD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

Co-Author Collaboration Network

5 top collaborators · 10 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

1 shared paperPharmacology & Toxicology

András EckerORCID

Mutual co-authors in cluster

Author profile →

1 paper

Recent·Most cited

Pharmacology & ToxicologyDrug Discovery TodayPeer-reviewedMar 10, 2026

Digital Twin Approaches for Interpretable Side Effect Prediction in Drug Discovery

András Ecker, Gergely Szabó, János Szalma…·Attila Csikász-Nagy

This paper proposes a digital twin-based model for interpretable side effect prediction in drug discovery using off-target proteins and biophysical mechanisms, offering actionable insights.

2 citations

deep learningbiophysical modeling

𝕏 PostBluesky