Author

Stephan Steigele

Genedata (Switzerland)ORCID 0000-0001-9209-5542Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Research Focus:drug response / drug discovery· 1 Approach:machine learning (classical)· 1 Research Focus:protein design· 1 Assay:protein sequence· 1 Research Focus:variant effect prediction· 1

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Daniel Siegismund· 1 shared Eriberto Noel NataliiD· 1 shared Mario WieseriD· 1 shared

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2026-2026 · peak 1/yr

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3 top collaborators · 3 mutual co-author links

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1 shared paperBioinformatics

Daniel Siegismund

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1 paper

Recent·Most cited

BioinformaticsbioRxivPreprintJul 6, 2026

Accurate ΔTm Prediction Without Protein Structure Inputs for Biomolecular Stability

Daniel Siegismund, Mario Wieser, Eriberto Noel Natali, Stephan Steigele

The paper shows that accurate ΔTm prediction can be achieved using a sequence-only model without structural inputs, outperforming structure-informed methods.

DOI 10.64898/2026.07.02.735991

protein sequencemachine learning (classical)

𝕏 PostBluesky