Author

Martin Schwersensky

Université Libre de BruxellesORCID 0009-0002-6907-6313Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Approach:machine learning (classical)· 1 Assay:protein sequence· 1 Assay:protein structure· 1 Research Focus:protein structure prediction· 1 Research Focus:variant effect prediction· 1

Frequent Co-Authors

Fabrizio PucciiD· 2 shared Marianne J. RoomaniD· 2 shared Matsvei TsishyniD· 1 shared Pauline HermansiD· 1 shared

Activity by Year

2020-2024 · peak 1/yr

Co-Author Collaboration Network

4 top collaborators · 6 mutual co-author links

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2 shared papersBioinformatics

Fabrizio PucciORCID

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2 papers

Recent·Most cited

Exploring evolution to uncover insights into protein mutational stability

Pauline Hermans, Matsvei Tsishyn, Martin Schwersensky, Marianne J. Rooman, Fabrizio Pucci

The paper evaluates how evolutionary models predict protein stability using deep mutational scanning data and finds that simple models perform as well as complex ones when combined with structural features.

Molecular Biology and Evolution · Dec 27, 2024Peer-reviewedBioinformatics

Large-scale in silico mutagenesis experiments reveal optimization of genetic code and codon usage for protein mutational robustness

Martin Schwersensky, Marianne J. Rooman, Fabrizio Pucci

The paper uses computational mutagenesis on protein structures to show that the genetic code and codon usage are optimized to enhance protein mutational robustness.

BMC Biology · Oct 20, 2020Peer-reviewedBioinformatics