Karthik Raman" | Robert Bosch Centre for Data Science and Artificial Intelligence

Karthik Raman"

Towards Personalized Cancer treatment

Bio-surveillance of Antimicrobial Resistance (AMR) and COVID-19 prevalence in Chennai: A MetaSUB approach using metagenomic

Predicting Essential Genes through Network Approach: Deciphering basis of Life

Systems-Theoretic Approaches to Design Biological Networks with Desired Functionalities

A new index for information gain in the Bayesian framework

Metagenome-wide association analysis identifies microbial determinants of post-antibiotic ecological recovery in the gut

Machine Learning Applications for Mass Spectrometry-Based Metabolomics

Mycobacterium tuberculosis (Mtb) lipid–mediated lysosomal rewiring in infected macrophages modulates intracellular Mtb trafficking and survival.

MINREACT: an efficient algorithm for identifying minimal metabolic networks

Novel ratio-metric features enable the identification of new driver genes across cancer types

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

Deciphering the metabolic capabilities of Bifidobacteria using genome-scale metabolic models

Uncovering Novel Pathways for Enhancing Hyaluronan Synthesis in Recombinant Lactococcus lactis: Genome-Scale Metabolic Modeling and Experimental Validation

Rational metabolic engineering for enhanced alpha-tocopherol production in Helianthus annuus cell culture

Adapting Community Detection Algorithms for Disease Module Identification in Heterogeneous Biological Networks

Evolutionary Design Principles in Metabolism

Computational Prediction of Synthetic Lethals in Genome-Scale Metabolic Models Using Fast-SL

Understanding the evolution of functional redundancy in metabolic networks

Enumerating all possible biosynthetic pathways in metabolic networks

Systems-Level Modelling of Microbial Communities: Theory and Practice

A systems-theoretic approach towards designing biological networks for perfect adaptation

Network-based features enable prediction of essential genes across diverse organisms

Computational prediction of synthetic lethals in genome-scale metabolic models using Fast-SL

Elucidating the biosynthetic pathways of volatile organic compounds in Mycobacterium tuberculosis through a computational approach

A General Mechanism for the Propagation of Mutational Effects in Proteins

In Silico Approaches to Metabolic Engineering