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Summary

In our group we are aiming at a quantitative understanding of biological systems to an extent that one is able to predict systemic features and with the hope to rational design and modify their behaviour. This applies to any system comprising biological components that is more than the mere sum of its components, or, in other words, the addition of the individual components results in systemic properties that could not be predicted by considering the components individually. By achieving this objective we are aiming at new global understanding and treatment of human diseases in which the target will not be a single molecule but a network. For this purpose in our group we develop on one hand new software and theoretical approximations to understand complex systems and on the other we do experiments to validate our predictions.

Latest News

Silencing of SRRM4 suppresses microexon inclusion and promotes tumor growth across cancers
Silencing of SRRM4 suppresses microexon inclusion and promotes tumor growth across cancers
Abstract: "Viruses need to hijack the translational machinery of the host cell for a productive infection to happen. However, given the dynamic landscape of tRNA...
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Translational adaptation of human viruses to the tissues they infect
Translational adaptation of human viruses to the tissues they infect
Abstract: "Viruses need to hijack the translational machinery of the host cell for a productive infection to happen. However, given the dynamic landscape of tRNA...
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In silico mutagenesis of human ACE2 with S protein and translational efficiency explain SARS-CoV-2 infectivity in different species
In silico mutagenesis of human ACE2 with S protein and translational efficiency explain SARS-CoV-2 infectivity in different species
Abstract: "The coronavirus disease COVID-19 constitutes the most severe pandemic of the last decades having caused more than 1 million deaths worldwide. The SARS-CoV-2 virus...
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LoxTnSeq: random transposon insertions combined with cre/lox recombination and counterselection to generate large random genome reductions
LoxTnSeq: random transposon insertions combined with cre/lox recombination and counterselection to generate large random genome reductions
Abstract: "The removal of unwanted genetic material is a key aspect in many synthetic biology efforts and often requires preliminary knowledge of which genomic regions...
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