Johannes Soeding
Papers
1
Total Citations
28
H-Index
1
About
Johannes Soeding is a leading computational biologist whose research bridges genomics, biophysics, and machine learning to decode the regulatory logic of gene expression. His major contributions center on understanding how core promoters function—the critical DNA sequences that initiate transcription. In a landmark 2022 study, Soeding and his team carried out a comprehensive structure-function analysis of the Drosophila core promoter using synthetic promoters, revealing how these sequences "compute" expression levels in metazoans. This work, already cited 28 times, exemplifies his approach of combining large-scale bioinformatic analysis with experimental validation. Soeding is also renowned for developing the HHpred and HHsuite tools for protein sequence analysis, which have become indispensable resources in structural biology. With over 30,000 citations across his career, his research has profoundly shaped our understanding of promoter architecture and protein homology detection. For students and researchers, Soeding’s work demonstrates the power of integrating computational modeling with high-throughput experiments to unravel complex biological systems.
Research Focus
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