550 citations
- Ludwig-Maximilians-Universität MünchenDE9 papers
- Center for NanoScienceDE6 papers
- Technical University of MunichDE6 papers
- Nanosystems Initiative MunichDE4 papers
- Centre National de la Recherche ScientifiqueFR3 papers
- Aarhus UniversityDK2 papers
- Columbia UniversityUS2 papers
- Delft University of TechnologyNL2 papers
- Hasselt UniversityBE2 papers
- Heinrich Heine University DüsseldorfDE2 papers
- Helmholtz MunichDE2 papers
- InsermFR2 papers
14 papers
Privacy-Preserving Multi-Center Differential Protein Abundance Analysis with FedProt
Yuliya Burankova, Miriam Abele, Mohammad Bakhtiari +28
Quantitative mass spectrometry has revolutionized proteomics by enabling simultaneous quantification of thousands of proteins. Pooling patient-derived data from multiple institutio…
Flow driven control of pulse width in excitable media
Adrian Misselwitz, Suzanne Lafon, Jean-Daniel Julien +1
Models of pulse formation in nerve conduction have provided manifold insight not only into neuronal dynamics but also the non-linear dynamics of pulse formation in general. Recent…
Molecular dynamics simulations with grand-canonical reweighting suggest cooperativity effects in RNA structure probing experiments
Nicola Calonaci, Mattia Bernetti, Alisha Jones +2
Chemical probing experiments such as SHAPE are routinely used to probe RNA molecules. In this work, we use atomistic molecular dynamics simulations to test the hypothesis that bind…
Memory capacity of adaptive flow networks
Komal Bhattacharyya, David Zwicker, Karen Alim
Biological flow networks adapt their network morphology to optimise flow while being exposed to external stimuli from different spatial locations in their environment. These adapti…
The FRET-based structural dynamics challenge -- community contributions to consistent and open science practices
Eitan Lerner, Benjamin Ambrose, Anders Barth +23
Single-molecule Förster resonance energy transfer (smFRET) has become a mainstream technique for probing biomolecular structural dynamics. The rapid and wide adoption of the techni…
Machine learning a model for RNA structure prediction
Nicola Calonaci, Alisha Jones, Francesca Cuturello +2
RNA function crucially depends on its structure. Thermodynamic models currently used for secondary structure prediction rely on computing the partition function of folding ensemble…