Author

Paulina Dragan

University of WarsawORCID 0000-0002-0654-5322Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Research Focus:drug response / drug discovery· 2 Research Focus:differential expression· 1 Approach:machine learning (classical)· 1 Assay:protein structure· 1 Research Focus:protein structure prediction· 1 Approach:simulation· 1 Approach:statistical model· 1

Frequent Co-Authors

Dorota LatekiD· 2 shared Khushil Prajapati· 1 shared Matthew MerskiiD· 1 shared Przemysław Osial· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

4 top collaborators · 6 mutual co-author links

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2 shared papersPharmacology & Toxicology

Dorota LatekORCID

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2 papers

Recent·Most cited

Microswitch-Guided Sampling for the Detection of Ligand Signaling Bias in GPCR Systems

Paulina Dragan, Dorota Latek

This paper introduces MGS, a computational method to detect ligand signaling bias in GPCR systems by analyzing conformational changes linked to specific signaling pathways.

bioRxiv · Sep 22, 2026 · PreprintPharmacology & Toxicology

GPCRVS - AI-driven decision support system for GPCR virtual screening

Dorota Latek, Khushil Prajapati, Paulina Dragan, Matthew Merski, Przemysław Osial

GPCRVS predicts compound activity against GPCRs using machine learning, validated on ChEMBL datasets for secretin-like and chemokine receptors.

International Journal of Molecular Sciences · Feb 27, 2025Peer-reviewedPharmacology & Toxicology