Computational Systems Biology Lab

Metagenome-based metabolic modelling predicts unique microbial interactions in deep-sea hydrothermal plume microbiomes

Dinesh Kumar Kuppa Baskaran, Shreyansh Umale, Zhichao Zhou, Karthik Raman*, Karthik Anantharaman*,

ISME Communications

3:42

Probing patterning in microbial consortia with a cellular automaton for spatial organisation

Sankalpa Venkatraghavan†, Sathvik Anantakrishnan†, Karthik Raman*,

Scientific Reports

12:17159

Metabolic modeling of the International Space Station microbiome reveals key microbial interactions

Rachita K Kumar, Nitin Singh, Sanjaay Balakrishnan, Ceth W. Parker, Karthik Raman*, Kasthuri Venkateswaran*,

Microbiome

10:102

Two-species community design of lactic acid bacteria for optimal production of lactate

Maziya Ibrahim, Karthik Raman*,

Computational and Structural Biotechnology Journal

19:6039-6049

Modelling microbial communities: Harnessing consortia for biotechnological applications

Maziya Ibrahim†, Lavanya Raajaraam†, Karthik Raman*,

Computational and Structural Biotechnology Journal

19:3892-3907

Metagenome-Wide Association Analysis Identifies Microbial Determinants of Post-Antibiotic Ecological Recovery in the Gut

Kern Rei Chng, Tarini Shankar Ghosh, Yi Han Tan, Tannistha Nandi, Ivor Russel Lee, Amanda Hui Qi Ng, Chenhao Li, Aarthi Ravikrishnan, Kar Mun Lim, David Lye, Timothy Barkham, Karthik Raman, & more

Nature Ecology and Evolution

4:1256-1267

Investigating metabolic interactions in a microbial co-culture through integrated modelling and experiments

Aarthi Ravikrishnan, Lars M. Blank, Smita Srivastava, Karthik Raman,

Computational and Structural Biotechnology Journal

18:1249-1258

Enumerating all possible biosynthetic pathways from metabolic networks

Aarthi Ravikrishnan, Meghana Nasre, Karthik Raman*,

Scientific Reports

8:9932