Author

Daniel Siegismund

Genedata (Switzerland)

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

Signature Assays, Organisms & Methods

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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

Frequent Co-Authors

Eriberto Noel NataliiD· 1 shared Mario WieseriD· 1 shared Stephan SteigeleiD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

Co-Author Collaboration Network

3 top collaborators · 3 mutual co-author links

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1 shared paperBioinformatics

Eriberto Noel NataliORCID

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1 paper

Recent·Most cited

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.

bioRxiv · Jul 6, 2026 · PreprintBioinformatics