Gayatri Ramakrishnan

Affiliations: 
2010-2016 Indian Institute of Science, Bengaluru, Karnataka, India 
Area:
Computational Biology
Google:
"Gayatri Ramakrishnan"
BETA: Related publications

Publications

You can help our author matching system! If you notice any publications incorrectly attributed to this author, please sign in and mark matches as correct or incorrect.

Kock KH, Kimes PK, Gisselbrecht SS, et al. (2024) DNA binding analysis of rare variants in homeodomains reveals homeodomain specificity-determining residues. Nature Communications. 15: 3110
Lezcano OM, Fuhrmann L, Ramakrishnan G, et al. (2023) Parallel evolution and enhanced virulence upon passage of an RNA virus in . Virus Evolution. 9: vead074
Ramakrishnan G, Baakman C, Heijl S, et al. (2023) Understanding structure-guided variant effect predictions using 3D convolutional neural networks. Frontiers in Molecular Biosciences. 10: 1204157
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
See more...