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.
The role of clonal communication and heterogeneity in breast cancer
Researchers from our group have collaborated in the recent publication of the work of Dr. Santiago Ramón y Cajal and his group. Abstract: Background Cancer...Read More
SynMyco transposon: engineering transposon vectors for efficient transformation of minimal genomes.
Abstract: Mycoplasmas are important model organisms for Systems and Synthetic Biology, and are pathogenic to a wide variety of species. Despite their relevance, many of...Read More
FoldX 5.0: Working with RNA, small molecules and a new graphical interface.
Abstract: A new version of FoldX, whose main new features allows running classic FoldX commands on structures containing RNA molecules and includes a module that...Read More