Author

Anne-Sophie de Smet

Ghent UniversityORCID 0009-0007-8307-3457Unclaimed 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:drug response / drug discovery· 1 Assay:electronic health records· 1 Approach:experimental assay· 1 Organism:human· 1 Assay:protein sequence· 1 Approach:statistical model· 1 Organism:yeast· 1

Frequent Co-Authors

Bert SchepensiD· 1 shared Chiara LonigroiD· 1 shared Daria FijałkowskaiD· 1 shared Deniz Erdil· 1 shared Dirk JochmansiD· 1 shared Esna Mualla Gunay· 1 shared Hannah EeckhautiD· 1 shared Hans DemoliD· 1 shared

Activity by Year

2024-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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1 shared paperMicrobiology

Bert SchepensORCID

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2 papers

Recent·Most cited

NeuroscienceCerebral CortexPeer-reviewedAug 1, 2025

Common Neural Choice Signals reflect Accumulated Evidence, not Confidence

Kobe Desender, Anne-Sophie de Smet, Deniz Erdil…·Hélène Van Marcke

The paper investigates whether neural signals reflect confidence or accumulated evidence, finding that they track evidence rather than confidence directly.

1 citation

humanelectronic health records

𝕏 PostBluesky

MicrobiologybioRxivPreprintMar 4, 2024

Yeast-based production platform for potent and stable heavy chain-only antibodies

Chiara Lonigro, Hannah Eeckhaut, Royan Alipour Symakani…·Nico Callewaert

This paper presents a yeast-based platform for producing stable and potent heavy chain-only antibodies, demonstrating its effectiveness with an anti-SARS-CoV-2 example.

DOI 10.1101/2024.03.04.580093

yeastprotein sequence

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