Faculty
personal profile
Co-ordinator
Department of Biotechnology, Bhupat & Jyoti Mehta School of Biosciences
Dr. Karthik Raman is an Professor at the Indian Institute of Technology Madras in the Department of Biotechnology. He is also a Co-ordinator for the Initiative for Biological Systems Engineering and a core member of the Robert Bosch Centre for Data Science and Artificial Intelligence (RBCDSAI), IIT Madras. His research Area is Computational Systems Biology.
He received his Ph.D. in Systems Biology from Supercomputer Education and Research Centre/Bioinformatics Centre, Indian Institute of Science, Bangalore, India
Publication
- 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
- Discovering adaptation-capable biological network structures using control-theoretic approaches
- 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
- Sequence Neighborhoods Enable Reliable Prediction of Pathogenic Mutations in Cancer Genomes
- Metagenomic-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: a systematic approach for identifying minimal metabolic networks
- Deciphering the metabolic capabilities of Bifidobacteria using genome-scale metabolic models
- Rational metabolic engineering for enhanced alpha-tocopherol production in Helianthus annuus cell culture
- Uncovering Novel Pathways for Enhancing Hyaluronan Synthesis in Recombinant Lactococcus lactis: Genome-Scale Metabolic Modeling and Experimental Validation
- Adapting Community Detection Algorithms for Disease Module Identification in Heterogeneous Biological Networks
- Evolutionary design principles in metabolism
- Network-based features enable prediction of essential genes across diverse organisms
- Metabolite systems profiling identifies exploitable weaknesses in retinoblastoma
- Systems-Level Modelling of Microbial Communities: Theory and Practice
- A systems-theoretic approach towards designing biological networks that can achieve adaptation
- Enumerating all possible biosynthetic pathways in metabolic networks
- Understanding the evolution of functional redundancy in metabolic networks
- Computational Prediction of Synthetic Lethals in Genome-Scale Metabolic Models Using Fast-SL
- Predicting Novel Metabolic Pathways through Subgraph Mining
- 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
- Fast-SL: an efficient algorithm to identify synthetic lethal sets in metabolic networks.