Karthik Raman

Panera: A novel framework for surmounting uncertainty in microbial community modelling using Pan-genera metabolic models
BugSigDB Captures Patterns of Differential Abundance across a Broad Range of Host-Associated Microbial Signatures
Genome-scale metabolic model led engineering of Nothapodytes nimmoniana plant cells for high camptothecin production
COWAVE: A labelled COVID-19 wave dataset for building predictive models
On biological networks capable of robust adaptation in the presence of uncertainties: A linear systems-theoretic approach
Bayesian Optimal Experiment Design for Sloppy Systems
Big Data for a Small World: A Review on Databases and Resources for Studying Microbiomes
Sloppiness: Fundamental study, new formalism and its application in model assessment
Probing patterning in microbial consortia with a cellular automaton for spatial organisation
Discovering design principles for biological functionalities Perspectives from systems biology
iCOMIC a graphical interface driven bioinformatics pipeline for analyzing cancer omics data
Metabolic modeling of the International Space Station microbiome reveals key microbial interactions
A strategy to make networks more resilient to attacks
Effect of dormant spare capacity on the attack tolerance of complex networks
Multi-omic data helps improve prediction of personalised tumor suppressors and oncogenes
CAMP: The perfect bacterial matchmaker
It takes two to tango — making bio-production more economical
Designing Biological Circuits: From Principles to Applications
Learning systems biology, the computational way
Discovering adaptation-capable biological network structures using control-theoretic approaches
A Computational Framework to Identify Metabolic Engineering Strategies for the Co-Production of Metabolites
Novel ratio-metric features enable the identification of new driver genes across cancer types
Two-species community design of lactic acid bacteria for optimal production of lactate
NetGenes: A database of essential genes predicted using features from interaction networks
Modelling microbial communities Harnessing consortia for biotechnological applications
The art of molecular computing: Whence and whither
MinReact: a systematic approach for identifying minimal metabolic networks
Sequence Neighborhoods Enable Reliable Prediction of Pathogenic Mutations in Cancer Genomes
CASTLE: A database of synthetic lethal sets predicted from genome-scale metabolic networks
How COVID-19 impacts population movement: A data-driven analysis to study population behavior during a pandemic
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