Author

Oliver Plettenburg

Leibniz University HannoverORCID 0000-0001-9671-278XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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

Frequent Co-Authors

Filipe MenezesiD· 2 shared Grzegorz M. PopowicziD· 2 shared Michael SattleriD· 2 shared Tony FröhlichiD· 2 shared Adam WahidaiD· 1 shared Agata BarzowskaiD· 1 shared Andreas HochhausiD· 1 shared Anna CzarnaiD· 1 shared

Activity by Year

2025-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 40 mutual co-author links

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2 shared papersBioinformatics

Filipe MenezesORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintSep 24, 2025

It is Not Always Crystal Clear: In-Pocket Analysis for Understanding Binding Site Microenvironment Properties

Filipe Menezes, Tony Fröhlich, Lucy C. Schofield…·Grzegorz M. Popowicz

The paper introduces In-Pocket, a computational method that validates and improves the chemical accuracy of protein-ligand binding interfaces using quantum mechanics and experimental data.

DOI 10.1101/2025.09.24.678379

protein structurestatistical model

𝕏 PostBluesky

BioinformaticsbioRxivPreprintAug 1, 2025

Target Preference Maps: A machine learning model generalizing transferable drug-receptor interactions and guiding drug discovery

Filipe Menezes, Adam Wahida, Tony Fröhlich…·Grzegorz M. Popowicz

The paper introduces a machine learning model that learns spatial preference maps for drug-receptor interactions to guide drug discovery.

DOI 10.1101/2025.08.01.668090

protein structuremachine learning (classical)

𝕏 PostBluesky