Dirk Walther

The paper investigates whether consecutive enzymes in metabolic pathways are spatially optimized for catalytic site proximity, finding no evidence for such optimization.

The paper investigates C4 pathway fluxes in three C4 grass subtypes using 13CO2 pulse-chase experiments, revealing that both malate and aspartate contribute to the C4 cycle in all subtypes.

Samplify automates seed segmentation and classification in Arabidopsis, improving efficiency and reducing user bias in seed abortion phenotyping.

This study identifies and analyzes compound-binding sites (pocketomes) across eleven species to explore evolutionary trends and algorithmic challenges in binding site prediction.

This study uses multi-omics analysis to investigate heat stress memory in Arabidopsis, identifying temporal transcriptomic, proteomic, and metabolomic responses during recovery.

The paper introduces PROMIS, a co-fractionation mass spectrometry technique integrated with chromatographic methods to map protein-metabolite interactions in E. coli, identifying 994 interactions and revealing novel functional insights.

This study re-analyzes mobile mRNA datasets and finds that many annotated mobile transcripts lack support from RNA-Seq data due to technical and biological factors.

The paper investigates plant metabolic responses to elevated CO2 using multi-omics analysis, revealing novel interactions in cytosolic and mitochondrial metabolism across mutants.

The paper uses loop-seq data and a deep learning model to analyze DNA flexibility across species, finding correlations with genomic features like transcription start sites and mutation rates.

The paper predicts novel compound-protein interactions in metabolic networks using biclique extension, achieving high precision and significant biological relevance in E. coli and human datasets.

This study identifies rapidly evolving chloroplast genes that control lipid biosynthesis and influence plastid competitiveness in evening primroses, leading to uniparental or biparental inheritance.

This study uses correlated mutations to detect macromolecular and chromatin interactions in Arabidopsis thaliana using genome-wide sequence data.