Author

Phillip Graß

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Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Approach:machine learning (classical)· 1 Assay:protein structure· 1 Research Focus:protein structure prediction· 1

Frequent Co-Authors

Filipe MenezesiD· 1 shared Grzegorz M. PopowicziD· 1 shared Maximilian Kienlein· 1 shared Stefan MunkeriD· 1 shared Till SiebenmorgeniD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

Co-Author Collaboration Network

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1 shared paperBioinformatics

Filipe MenezesORCID

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1 paper

Recent·Most cited

Local structural preference maps encode transferable protein-interface energetics

Maximilian Kienlein, Filipe Menezes, Phillip Graß, Stefan Munker, Till Siebenmorgen, Grzegorz M. Popowicz

The paper trains a machine-learning model on native protein structures to predict interaction preferences and energetics without using affinity or mutation labels, achieving performance comparable to existing methods on a benchmark.

bioRxiv · Sep 24, 2026 · PreprintBioinformatics