The genetic and biochemical networks which underlie such things as homeostasis in metabolism
and the developmental programs of living cells, must withstand considerable variations …

The correlation between mRNA and protein abundances in the cell has been reported to be
notoriously poor. Recent technological advances in the quantitative analysis of mRNA and …

We have developed a statistical mechanics algorithm, TANGO, to predict protein aggregation.
TANGO is based on the physico-chemical principles of β-sheet formation, extended by the …

FoldX is an empirical force field that was developed for the rapid evaluation of the effect of
mutations on the stability, folding and dynamics of proteins and nucleic acids. The core …

We have developed a computer algorithm, FOLDEF (for FOLD-X energy function), to provide
a fast and quantitative estimation of the importance of the interactions contributing to the …

The morphology of bulk heterojunction organic photovoltaic cells controls many of the
performance characteristics of devices. However, measuring this morphology is challenging …

Protein aggregation results in β-sheet–like assemblies that adopt either a variety of amorphous
morphologies or ordered amyloid-like structures. These differences in structure also …

Feedback is a ubiquitous control mechanism of gene networks. Here, we have used positive
feedback to construct a synthetic eukaryotic gene switch in Saccharomyces cerevisiae. …

Using an empirical analysis of experimental data we have estimated a set of energy
contributions which accounts for the stability of isolated α-helices. With this database and an …

To study basic principles of transcriptome organization in bacteria, we analyzed one of the
smallest self-replicating organisms, Mycoplasma pneumoniae. We combined strand-specific …