Karthik Raman
Karthik Raman
Professor, Department of Biotechnology/RBCDSAI/IBSE, IIT Madras
Verified email at - Homepage
Cited by
Cited by
Flux balance analysis of biological systems: applications and challenges
K Raman, N Chandra
Briefings in bioinformatics 10 (4), 435-449, 2009
targetTB: a target identification pipeline for Mycobacterium tuberculosis through an interactome, reactome and genome-scale structural analysis
K Raman, K Yeturu, N Chandra
BMC systems biology 2 (1), 109, 2008
Assessment of network module identification across complex diseases
S Choobdar, ME Ahsen, J Crawford, M Tomasoni, T Fang, D Lamparter, ...
Nature Methods 16 (9), 843-852, 2019
Machine Learning Applications for Mass Spectrometry-Based Metabolomics
UW Liebal, ANT Phan, M Sudhakar, K Raman, LM Blank
Metabolites 10 (6), 243, 2020
Flux balance analysis of mycolic acid pathway: targets for anti-tubercular drugs
K Raman, P Rajagopalan, N Chandra
PLoS computational biology 1 (5), e46, 2005
Construction and analysis of protein–protein interaction networks
K Raman
Automated experimentation 2 (1), 2, 2010
SBML Level 3: an extensible format for the exchange and reuse of biological models
SM Keating, D Waltemath, M König, F Zhang, A Dräger, C Chaouiya, ...
Molecular systems biology 16 (8), e9110, 2020
Mycobacterium tuberculosis interactome analysis unravels potential pathways to drug resistance
K Raman, N Chandra
BMC microbiology 8 (1), 234, 2008
Metagenome-wide association analysis identifies microbial determinants of post-antibiotic ecological recovery in the gut
KR Chng, TS Ghosh, YH Tan, T Nandi, IR Lee, AHQ Ng, C Li, ...
Nature Ecology & Evolution 4 (9), 1256-1267, 2020
The organisational structure of protein networks: revisiting the centrality–lethality hypothesis
K Raman, N Damaraju, GK Joshi
Systems and Synthetic Biology 8, 73-81, 2014
Critical assessment of genome-scale metabolic networks: the need for a unified standard
A Ravikrishnan, K Raman
Briefings in bioinformatics 16 (6), 1057-1068, 2015
The evolvability of programmable hardware
K Raman, A Wagner
Journal of The Royal Society Interface 8 (55), 269-281, 2011
A systems perspective of host–pathogen interactions: predicting disease outcome in tuberculosis
K Raman, AG Bhat, N Chandra
Molecular BioSystems 6 (3), 516-530, 2010
Deciphering the metabolic capabilities of Bifidobacteria using genome-scale metabolic models
NT Devika, K Raman
Scientific Reports 9 (1), 18222, 2019
Fast-SL: an efficient algorithm to identify synthetic lethal sets in metabolic networks
A Pratapa, S Balachandran, K Raman
Bioinformatics 31 (20), 3299-3305, 2015
A General Mechanism for the Propagation of Mutational Effects in Proteins
N Rajasekaran, S Suresh, S Gopi, K Raman, AN Naganathan
Biochemistry 56 (1), 294-305, 2016
Metabolome based reaction graphs of M. tuberculosis and M. leprae: a comparative network analysis
KD Verkhedkar, K Raman, NR Chandra, S Vishveshwara
PLoS One 2 (9), e881, 2007
Adapting Community Detection Algorithms for Disease Module Identification in Heterogeneous Biological Networks
B Tripathi, S Parthasarathy, H Sinha, K Raman, B Ravindran
Frontiers in genetics 10, 164, 2019
Strategies for efficient disruption of metabolism in Mycobacterium tuberculosis from network analysis
K Raman, R Vashisht, N Chandra
Molecular BioSystems 5 (12), 1740-1751, 2009
Modelling microbial communities: Harnessing consortia for biotechnological applications
M Ibrahim, L Raajaraam, K Raman
Computational and Structural Biotechnology Journal 19, 3892-3907, 2021
The system can't perform the operation now. Try again later.
Articles 1–20