Karthik Raman

Summary

Country: India

Publications

  1. ncbi targetTB: a target identification pipeline for Mycobacterium tuberculosis through an interactome, reactome and genome-scale structural analysis
    Karthik Raman
    Supercomputer Education and Research Centre and Bioinformatics Centre, Indian Institute of Science, Bangalore 560 012, India
    BMC Syst Biol 2:109. 2008
  2. ncbi Mycobacterium tuberculosis interactome analysis unravels potential pathways to drug resistance
    Karthik Raman
    Bioinformatics Centre, Supercomputer Education and Research Centre Indian Institute of Science, Bangalore, India
    BMC Microbiol 8:234. 2008
  3. ncbi Hallmarks of mycolic acid biosynthesis: a comparative genomics study
    Karthik Raman
    Bioinformatics Centre and Supercomputer Education and Research Centre, Indian Institute of Science, Bangalore 560012, India
    Proteins 69:358-68. 2007
  4. ncbi Strategies for efficient disruption of metabolism in Mycobacterium tuberculosis from network analysis
    Karthik Raman
    Bioinformatics Centre, Supercomputer Education and Research Centre, Indian Institute of Science, Bangalore 5600012, India
    Mol Biosyst 5:1740-51. 2009
  5. ncbi Flux balance analysis of mycolic acid pathway: targets for anti-tubercular drugs
    Karthik Raman
    Bioinformatics Centre, Supercomputer Education and Research Centre, Indian Institute of Science, Bangalore, India
    PLoS Comput Biol 1:e46. 2005
  6. ncbi A systems perspective of host-pathogen interactions: predicting disease outcome in tuberculosis
    Karthik Raman
    Bioinformatics Centre, Indian Institute of Science, Bangalore 560012, India
    Mol Biosyst 6:516-30. 2010
  7. ncbi Metabolome based reaction graphs of M. tuberculosis and M. leprae: a comparative network analysis
    Ketki D Verkhedkar
    Molecular Biophysics Unit, Indian Institute of Science, Bangalore, India
    PLoS ONE 2:e881. 2007

Detail Information

Publications7

  1. ncbi targetTB: a target identification pipeline for Mycobacterium tuberculosis through an interactome, reactome and genome-scale structural analysis
    Karthik Raman
    Supercomputer Education and Research Centre and Bioinformatics Centre, Indian Institute of Science, Bangalore 560 012, India
    BMC Syst Biol 2:109. 2008
    ..With different kinds of 'omics' data that are now available, computational approaches can be powerful means of obtaining short-lists of possible targets for further experimental validation...
  2. ncbi Mycobacterium tuberculosis interactome analysis unravels potential pathways to drug resistance
    Karthik Raman
    Bioinformatics Centre, Supercomputer Education and Research Centre Indian Institute of Science, Bangalore, India
    BMC Microbiol 8:234. 2008
    ..A systems level analysis of the proteins involved is essential to gain insights into the routes required for emergence of drug resistance...
  3. ncbi Hallmarks of mycolic acid biosynthesis: a comparative genomics study
    Karthik Raman
    Bioinformatics Centre and Supercomputer Education and Research Centre, Indian Institute of Science, Bangalore 560012, India
    Proteins 69:358-68. 2007
    ..The understanding of the hallmarks of mycolic acid biosynthesis will also find application in evaluating drug targets...
  4. ncbi Strategies for efficient disruption of metabolism in Mycobacterium tuberculosis from network analysis
    Karthik Raman
    Bioinformatics Centre, Supercomputer Education and Research Centre, Indian Institute of Science, Bangalore 5600012, India
    Mol Biosyst 5:1740-51. 2009
    ..An obvious outcome of this study is a rational identification of drug targets, to efficiently bring down mycobacterial metabolism...
  5. ncbi Flux balance analysis of mycolic acid pathway: targets for anti-tubercular drugs
    Karthik Raman
    Bioinformatics Centre, Supercomputer Education and Research Centre, Indian Institute of Science, Bangalore, India
    PLoS Comput Biol 1:e46. 2005
    ..The targets, chosen based on the critical points in the pathway, form a ready shortlist for experimental testing...
  6. ncbi A systems perspective of host-pathogen interactions: predicting disease outcome in tuberculosis
    Karthik Raman
    Bioinformatics Centre, Indian Institute of Science, Bangalore 560012, India
    Mol Biosyst 6:516-30. 2010
    ..Simulations indicate a high propensity of the pathogen to persist under different conditions...
  7. ncbi Metabolome based reaction graphs of M. tuberculosis and M. leprae: a comparative network analysis
    Ketki D Verkhedkar
    Molecular Biophysics Unit, Indian Institute of Science, Bangalore, India
    PLoS ONE 2:e881. 2007
    ..We use concepts from spectral graph theory to systematically determine how differences in basic metabolism of organisms are reflected at the systems level and in the overall topological structures of their metabolic networks...