Author

Dmitrij Frishman

Technical University of MunichORCID 0000-0002-9006-4707Unclaimed ORCID profile · follow to get notified of new preprints

Additional preprints under this name without ORCID

Dmitrij Frishman1 paper · Technical University of Munich

Biology Disciplines

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Bioinformatics· 2 Neuroscience· 1

Signature Assays, Organisms & Methods

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Research Focus:database / resource· 2 Assay:protein sequence· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Research Focus:dimensionality reduction· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

Stephan BreimanniD· 2 shared Evans Sioma Kataka· 1 shared Frits KampiD· 1 shared Georg JocheriD· 1 shared Gökhan GüneriD· 1 shared Harald SteineriD· 1 shared Jan Maciej ZauchaiD· 1 shared Johanna TüshausiD· 1 shared

Activity by Year

2020-2024 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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2 shared papersBioinformatics

Stephan BreimannORCID

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3 papers

Recent·Most cited

BioinformaticsJournal of Molecular BiologyPeer-reviewedJul 24, 2024

AAontology: An ontology of amino acid scales for interpretable machine learning

Stephan Breimann, Frits Kamp, Harald Steiner, Dmitrij Frishman

AAontology classifies 586 amino acid scales into 8 categories and 67 subcategories to improve interpretability in protein prediction tasks.

15 citations

protein sequencestatistical model

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BioinformaticsBioinformatics AdvancesPeer-reviewedJan 1, 2024

AAclust: k-optimized clustering for selecting redundancy-reduced sets of amino acid scales

Stephan Breimann, Dmitrij Frishman

AAclust optimizes k-values for clustering amino acid scales to reduce redundancy, improving performance on protein prediction benchmarks.

6 citations

protein sequencestatistical model

𝕏 PostBluesky

NeuroscienceThe EMBO JournalPeer-reviewedSep 21, 2020

Quantitative secretome analysis establishes the cell type-resolved mouse brain secretome

Johanna Tüshaus, Stephan A. Müller, Evans Sioma Kataka…·Stefan F. Lichtenthaler

The paper develops a method to analyze the secretome of mouse brain cells and identifies cell type-specific secreted proteins, revealing proteolytic cleavage of membrane proteins.

88 citationstop 3%

mouseproteomics

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