Category Archives: Computational Biology

Immune Modulation using Synthetic Signaling Circuit

Efficient immune signalling response against pathogens is crucial for resolving infections. However, many pathogens thrive by evolving strategies to evade the host immune response. Scientists at NCCS are exploring ways to rewire immune signaling pathways or networks by using synthetic signaling circuits. Continue reading

Synthetic Biology Approach for Resolving Diseases

Scientists at NCCS are tapping into synthetic biology techniques for understanding the dynamics of infectious diseases like Leishmaniasis and designing simple to complex synthetic circuits made of biological building blocks (bio bricks), which can be used to reprogram various pathways inside a variety of cells involved in the pathogenesis. Continue reading

Computational Method for Mapping Protein Interactions

In order to assimilate large data sets generated by high throughput experiments, scientists at NCCS have developed a novel algorithm solving an NP (non-deterministic polynomial) hard problem and have used it effectively for mapping potential protein interactions. This computational approach can be used for studying organisms at systems level by integrating high throughput differential expression data and information on regulatory networks. Continue reading