Author

Martin Danner

Universitätsklinikum AachenORCID 0000-0002-5459-4452Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Organism:human· 3 Assay:protein structure· 2 Research Focus:variant effect prediction· 2 Assay:whole-genome sequencing· 2 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Approach:large language model· 1

Frequent Co-Authors

Ingo KurthiD· 4 shared Jeremias KrauseiD· 4 shared Matthias BegemanniD· 4 shared Miriam ElbrachtiD· 4 shared Florian KraftiD· 3 shared Tanhim IslamiD· 2 shared Mathis BodeiD· 1 shared Zain Ziad· 1 shared

Activity by Year

2025-2026 · peak 3/yr

Co-Author Collaboration Network

8 top collaborators · 28 mutual co-author links

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4 shared papersBioinformatics

Ingo KurthORCID

Mutual co-authors in cluster

Author profile →

4 papers

Recent·Most cited

A relational architecture of the human genome

Jeremias Krause, Martin Danner, Florian Kraft, Tanhim Islam, Matthias Begemann, Zain Ziad, Miriam Elbracht, Mathis Bode, Ingo Kurth

The paper systematically perturbs the human genome to reveal a relational network of genomic dependencies, uncovering 'relons' that reflect functional and evolutionary constraints.

bioRxiv · Oct 16, 2026 · PreprintGenomics

Genolator: A Multimodal Large Language Model Fusing Natural Language, Genomic, and Structural Tokens for Protein Function Interpretation

Martin Danner, Tanhim Islam, Matthias Begemann, Florian Kraft, Miriam Elbracht, Ingo Kurth, Jeremias Krause

Genolator is a multimodal large language model that combines genomic and structural data with natural language to interpret protein function, outperforming existing models in accuracy.

bioRxiv · Nov 14, 2025 · PreprintBioinformatics

Utilizing protein structure graph embeddings to predict the pathogenicity of missense variants

Martin Danner, Matthias Begemann, Miriam Elbracht, Ingo Kurth, Jeremias Krause

This paper predicts the pathogenicity of missense variants using graph embeddings of protein structures generated by ESMFold and XGBoost.

NAR Genomics and Bioinformatics · Jul 4, 2025Peer-reviewedBioinformatics

Mutational Constraint Analysis Workflow for Overlapping Short Open Reading Frames and Genomic Neighbours

Martin Danner, Matthias Begemann, Florian Kraft, Miriam Elbracht, Ingo Kurth, Jeremias Krause

The paper analyzes mutational constraint in short open reading frames (sORFs) and their genomic neighbors using the gnomAD 4.0 dataset, identifying a subset of highly constrained sORFs similar to canonical genes.

BMC Genomics · Mar 14, 2025Peer-reviewedBioinformatics