Gayatri Ramakrishnan

Indian Institute of Science, Bengaluru, Karnataka, India 
Computational Biology
"Gayatri Ramakrishnan"
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Chakraborti S, Ramakrishnan G, Srinivasan N. (2019) Repurposing Drugs Based on Evolutionary Relationships Between Targets of Approved Drugs and Proteins of Interest. Methods in Molecular Biology (Clifton, N.J.). 1903: 45-59
Ramakrishnan G, Chandra N, Srinivasan N. (2017) Exploring anti-malarial potential of FDA approved drugs: an in silico approach. Malaria Journal. 16: 290
Mehrotra P, Ramakrishnan G, Dhandapani G, et al. (2017) Comparison of Leptospira interrogans and Leptospira biflexa genomes: analysis of potential leptospiral-host interactions. Molecular Biosystems
Ramakrishnan G, Jain A, Chandra N, et al. (2016) Computational recognition and analysis of hitherto uncharacterized nucleotide cyclase-like proteins in bacteria. Biology Direct. 11: 27
Ramakrishnan G, Srinivasan N, Padmapriya P, et al. (2015) Homology-Based Prediction of Potential Protein-Protein Interactions between Human Erythrocytes and Plasmodium falciparum. Bioinformatics and Biology Insights. 9: 195-206
Ramakrishnan G, Chandra NR, Srinivasan N. (2015) Recognizing drug targets using evolutionary information: implications for repurposing FDA-approved drugs against Mycobacterium tuberculosis H37Rv. Molecular Biosystems
Metri R, Hariharaputran S, Ramakrishnan G, et al. (2015) SInCRe-structural interactome computational resource for Mycobacterium tuberculosis. Database : the Journal of Biological Databases and Curation. 2015
Ramakrishnan G, Ochoa-Montaño B, Raghavender US, et al. (2015) Enriching the annotation of Mycobacterium tuberculosis H37Rv proteome using remote homology detection approaches: insights into structure and function. Tuberculosis (Edinburgh, Scotland). 95: 14-25
Ramakrishnan G, Chandra NR, Srinivasan N. (2014) From workstations to workbenches: Towards predicting physicochemically viable protein-protein interactions across a host and a pathogen. Iubmb Life. 66: 759-74
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