side Karthik Raman

Karthik Raman

Associate Professor

Metabolic network analysis Computational modelling Simulation of biological systems/networks Systems and synthetic biology Metabolic engineering (strain improvement through in silico modelling) High-performance GPGPU computing for systems biology

Dr. Karthik’s Ph.D. at IISc Bangalore involved the computational analysis of metabolic networks and protein-protein interaction networks in Mycobacterium tuberculosis, for the prediction of potential drug targets. Karthik’s post-doctoral research at the University of Zurich, Switzerland, involved the analysis of a complex space of signalling circuits in yeast as well as synthetic logic circuits, for their robustness and evolvability. His research interests are in the areas of computational systems biology and synthetic biology. Some pertinent research problems of interest are the reconstruction of complex biological networks from data on metabolites (metabolomics), RNA transcripts/microarrays (transcriptomics) and proteins (proteomics), and the integration of these data into biological network models. Karthik’s lab currently works on modelling and analysis of metabolic networks for applications in metabolic engineering.

blogs

Mar 28, 2022
CAMP: The perfect bacterial matchmaker
Lovers, enemies, friends aren’t the relationships confined to human or animal societies. Tiny beings like bacteria also react to different bacteria in their vicinity, and their growth and survival depend on the kind of relationship they have with the other bacteria residing near them. Two or more types of bacteria living together constitute a microbial community, and in such a community, division of labor occurs which help in the overall growth of community, efficient production of products or teams up to get rid of chemicals which are harmful to the growth of the community.

2 min read

Mar 28, 2022
It takes two to tango — making bio-production more economical
As the world decides to tread on a sustainable path, a more eco-friendly alternative for each and every industrial process is being looked upon. One of the environmentally harmful processes is the production of chemicals through traditional means. Biotechnology offers to remedy this problem by producing chemicals through microbial means, which does not end in creating hazardous byproducts. Despite this advantage, bioproduction hasn’t truly taken off yet due to the poor yield of products obtained through this process.

2 min read

Feb 25, 2022
Learning systems biology, the computational way
The 90s was an interesting time for biology research as researchers shifted from reductionist to a systems approach for studying and understanding biological systems. A decade later, high-throughput technologies revolutionized the field of systems biology by generating heaps of data. Thanks to these technologies, the state of thousands of genes, proteins, chemicals or metabolites at a given time-point, or in response to any stimuli, can be captured now. However, generating insights from this humongous amount of data was like looking for a needle in a haystack.

2 min read

projects

publications