Author

Carolin Berner

Vrije Universiteit Brussel

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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Bioinformatics· 1 Synthetic Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Approach:deep learning· 1 Approach:experimental assay· 1 Assay:protein structure· 1 Research Focus:protein structure prediction· 1 Research Focus:software / tool· 1 Approach:statistical model· 1

Frequent Co-Authors

Anastassia Andreevna VorobievaiD· 2 shared Alex KangiD· 1 shared Alvaro Martin HermosillaiD· 1 shared Asim K. BeraiD· 1 shared Banumathi SankaraniD· 1 shared Binyong LiangiD· 1 shared David A. BakeriD· 1 shared David J. BrockwelliD· 1 shared

Activity by Year

2023-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 37 mutual co-author links

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2 shared papersSynthetic Biology

Anastassia Andreevna VorobievaORCID

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2 papers

Recent·Most cited

Sculpting conducting nanopore size and shape through de novo protein design

Samuel Berhanu, Sagardip Majumder, Thomas Müntener, James M. Whitehouse, Carolin Berner, Asim K. Bera, Alex Kang, Binyong Liang, G. Nasir Khan, Banumathi Sankaran, Lukas K. Tamm, David J. Brockwell, Sebastian Hiller, Sheena E. Radford, David A. Baker, Anastassia Andreevna Vorobieva

This paper designs stable transmembrane beta-barrel nanopores with tailored sizes and shapes using de novo protein design, achieving conductances ranging from 110 pS to 430 pS.

Science · Jul 18, 2024Peer-reviewedSynthetic Biology

Validation of de novo designed water-soluble and transmembrane proteins by in silico folding and melting

Alvaro Martin Hermosilla, Carolin Berner, Sergey Ovchinnikov, Anastassia Andreevna Vorobieva

The paper compares AlphaFold2 and ESMFold in validating de novo protein designs, showing AlphaFold2 better predicts experimental folding success while ESMFold excels in structure prediction from contacts.

bioRxiv · Jun 6, 2023 · PreprintBioinformatics