sarikasahu
Sneha Murmu
Scientist
sneha.murmu@icar.gov.in,murmu.sneha22@gmail.com



Area of Interest


  • Protein-protein interaction
  • Transcriptome analysis
  • Structural biology

Important Projects


  • Development of an integrated framework for the analysis of biogeochemical cycles from metagenomic data.

  • Development of Artificial Intelligence and Big Data Analytics based Framework for Predicting Protein-Ligand Interaction.


Important Publications


  • Murmu, S., Chaurasia, H., Guha Majumdar, S., Rao, A.R., Rai, A., & Archak, S. (2022). Prediction of protein–protein interactions between anti-CRISPR and CRISPR-Cas using machine learning technique. Journal of Plant Biochemistry and Biotechnology iconpdf

  • Sharma, S., Murmu, S., Das, R., Tilgam, J., Saakre, M., & Paul, K. (2022). A review on bioinformatics advances in CRISPR-Cas technology. Journal of Plant Biochemistry and Biotechnology, 1-17. iconpdf

  • Tiwari, D., Murmu, S., Indari, O., Jha, H.C., Kumar, S. (2022) Targeting Epstein-Barr virus dUTPase, an immunomodulatory protein using anti-viral, anti-inflammatory and neuroprotective phytochemicals. Chem Biodivers ;19(9):e202200527. (IF:2.74; NAAS IF: 8.74) iconpdf

  • Tiwari, D., Murmu, S., Indari, O., Jha, H. C., & Kumar, S. 2022. Targeting Epstein‐Barr virus dUTPase, an immunomodulatory protein using anti‐viral, anti‐inflammatory and neuroprotective phytochemicals. Chemistry & Biodiversity iconpdf

  • Kumar S, Ahmad K, Behera SK, Nagrale DT, Chaurasia A, Yadav MK, Murmu, S., Jha Y, Rajawat MVS, Malviya D, Singh UB, Shankar R, Tripathy M, Singh HV (2022). Biocomputational Assessment of Natural Compounds as a Potent Inhibitor to Quorum Sensors in Ralstonia solanacearum. Molecules. 27(9):3034.. PMID: 35566383; (IF: 4.45; NAAS: 10.45).iconpdf





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