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

Pharmacology & ToxicologybioRxivPreprintSep 22, 2026

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.

DOI 10.64898/2026.09.16.752090

protein structurestatistical model

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Pharmacology & ToxicologyInternational Journal of Molecular SciencesPeer-reviewedFeb 27, 2025

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

Dorota Latek, Khushil Prajapati, Paulina Dragan…·Przemysław Osial

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

11 citationstop 4%

machine learning (classical)drug response / drug discovery

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