R. Sowdhamini

Ramanathan Sowdhamini (born 24 May 1964) is an Indian computational biologist, bioinformatician and a professor at the department of biochemistry, biophysics and bioinformatics of the National Centre for Biological Sciences, a TIFR research facility located in Bengaluru. Known for computational studies in the field of Protein Science, Sowdhamini is also associated with the Institute for Stem Cell Biology and Regenerative Medicine as a collaborator and is an elected fellow of the Indian Academy of Sciences as well as the Indian National Science Academy. The Department of Biotechnology of the Government of India awarded her the National Bioscience Award for Career Development, one of the highest Indian science awards, for her contributions to biosciences in 2007. Provided by Wikipedia
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  1. 1
    PPCheck: A Webserver for the Quantitative Analysis of Protein-Protein Interfaces and Prediction of Residue Hotspots
    by Anshul Sukhwal, Ramanathan Sowdhamini
    Published 2015-01-01
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    Article
  2. 2
    PPCheck: A Webserver for the Quantitative Analysis of Protein–Protein Interfaces and Prediction of Residue Hotspots
    by Anshul Sukhwal, Ramanathan Sowdhamini
    Published 2015-09-01
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    Article
  3. 3
    Genome-Wide Search for Tyrosine Phosphatases in the Human Genome Through Computational Approaches Leads to the Discovery of Few New Domain Architectures
    by Teerna Bhattacharyya, Ramanathan Sowdhamini
    Published 2019-04-01
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    Article
  4. 4
    Computational Approaches for Decoding Select Odorant-Olfactory Receptor Interactions Using Mini-Virtual Screening.
    by K Harini, Ramanathan Sowdhamini
    Published 2015-01-01
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    Article
  5. 5
    Structural analysis of prolyl oligopeptidases using molecular docking and dynamics: insights into conformational changes and ligand binding.
    by Swati Kaushik, Ramanathan Sowdhamini
    Published 2011-01-01
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  6. 6
    Molecular Dynamics Simulations and Structural Analysis to Decipher Functional Impact of a Twenty Residue Insert in the Ternary Complex of Mus musculus TdT Isoform.
    by Eshita Mutt, Ramanathan Sowdhamini
    Published 2016-01-01
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    Article
  7. 7
    Bioinformatics comparisons of RNA-binding proteins of pathogenic and non-pathogenic Escherichia coli strains reveal novel virulence factors
    by Pritha Ghosh, Ramanathan Sowdhamini
    Published 2017-08-01
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    Article
  8. 8
    Integrative modelling of TIR domain-containing adaptor molecule inducing interferon-β (TRIF) provides insights into its autoinhibited state
    by Jarjapu Mahita, Ramanathan Sowdhamini
    Published 2017-04-01
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    Article
  9. 9
    PIMADb: A Database of Protein–Protein Interactions in Huge Macromolecular Assemblies
    by Oommen K. Mathew, Ramanathan Sowdhamini
    Published 2016-01-01
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    Article
  10. 10
    PIMADb: A Database of Protein–Protein Interactions in Huge Macromolecular Assemblies
    by Oommen K. Mathew, Ramanathan Sowdhamini
    Published 2016-07-01
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    Article
  11. 11
    Genome-Wide Analysis of Domain-Swap Predicted Products in the Genome of Anti-Stress Medicinal Plant:
    by Atul Kumar Upadhyay, Ramanathan Sowdhamini
    Published 2019-01-01
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    Article
  12. 12
    Genome-Wide Prediction and Analysis of 3D-Domain Swapped Proteins in the Human Genome from Sequence Information.
    by Atul Kumar Upadhyay, Ramanathan Sowdhamini
    Published 2016-01-01
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    Article
  13. 13
    DEELIG: A Deep Learning Approach to Predict Protein-Ligand Binding Affinity
    by Asad Ahmed, Bhavika Mam, Ramanathan Sowdhamini
    Published 2021-07-01
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    Article
  14. 14
    Specialized structural and functional roles of residues selectively conserved in subfamilies of the pleckstrin homology domain family
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    Article
  15. 15
    Energetic Calculations to Decipher pH-Dependent Oligomerization and Domain Swapping of Proteins.
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  16. 16
    Structural interface parameters are discriminatory in recognising near-native poses of protein-protein interactions.
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  17. 17
    Sequence Analysis and Evolutionary Studies of Reelin Proteins
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  18. 18
    Revisiting Myosin Families through Large-scale Sequence Searches Leads to the Discovery of New Myosins
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    Article
  19. 19
    Sequence Analysis and Evolutionary Studies of Reelin Proteins
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    Article
  20. 20
    Revisiting Myosin Families Through Large-scale Sequence Searches Leads to the Discovery of New Myosins
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    Article
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