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

Jul 18, 2022
Towards Personalized Cancer treatment
As per the National Cancer Registry Programme Report 2022, over 13 lakhs people in India suffer from cancer each year making India rank third nation-wise in the number of cancer cases across the world. The figures are not good globally as well! As per the WHO, cancer is a leading cause of death worldwide and accounted for nearly one in six deaths in the year 2020. The disease not only torments the patient but is physically, emotionally and financially draining for the family as well.

2 min read

Jun 16, 2022
A strategy to make networks more resilient to attacks
Sai Saranga Das , Karthik Raman
We live in a highly connected world! World Wide Web, social networks, brain networks, Railway networks, Power Distribution networks etc. are all examples of connections or say networks. All these networks can be pictorially represented as a collection of connected objects. Varied it may seem but all these networks have two common entities: nodes and edges. Here, a node is an object and an edge is a line that links objects together.

3 min read

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

projects

publications