Research Projects

Ontomed researches numerous applications of QCM technology in fields such as Cardiac Rhythm Management, Epilepsy, Drug Toxicity-Complexity or Protein Folding.

Protein Folding

Protein folding simulations are very CPU-intensive and are crucial towards new protein discovery. We propose to incorporate complexity in the conventional methods of folding analysis and simulation. Based on the dynamics of the folding process, we are able to measure the evolution of the complexity of the sequence of amino-acids over time. Our initial experiments indicate that folded proteins tend to maximise the value of the complexity function - read blog. The reason for this may reside in the fact that complexity measures the amount of structured information within a given system (expressed bits). We postulate that each sequence of amino-acids folds in a way which maximises the amount of information that it encodes. This is because functionality is proportional to information.

Drug Toxicity

We postulate that the pysio-chemical properties of a molecule are proportional to its complexity. In other words, we suggest that a more complex molecule has greater potential to do damage and over a broader spectrum and that higher complexity may also imply greater capacity to combine with other molecules. The underlying idea is to use complexity as a ranking and risk-stratification mechanism for molecules. Read article.

DNA COMPLEXITY

With our QCM tools we are able to analyse massive amounts of data related to the DNA and its structure. Our goal is to synthesise the first Complexity Map of the human DNA. Mapping genome complexity is crucial towards establishing the relationship between function and its structure. While we know that the structure of the DNA is highly complex, this complexity has never actually been quantified. This is our goal - to measure the complexity of the DNA and to rank its constituents in term of their relative contribution to the overall DNA complexity. Read more.

Epilepsy

In order for a responsive neurostimulation device to successfully stop seizures, a seizure must be detected and electrical stimulation applied as early as possible. A seizure that builds and generalizes beyond its area of origin will be very difficult to abort via neurostimulation. Current seizure detection algorithms in commercial responsive neurostimulation devices are tuned to be hypersensitive, and their high false positive rate results in unnecessary stimulation.