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


  • Sinha, D., Dasmandal, T., Paul, K., Yeasin, M., Bhattacharjee, S., Murmu, S.,. & Archak, S. (2023). MethSemble-6mA: an ensemble-based 6mA prediction server and its application on promoter region of LBD gene family in Poaceae. Frontiers in Plant Science, 14.iconpdf

  • Varshney, N., Murmu, S., Baral, B., Kashyap, D., Singh, S., Kandpal, M., Bhandari V, Chaurasia A, Kumar S, Jha, H. C. (2023). Unraveling the Aurora kinase A and Epstein Barr Virus nuclear antigen 1 axis in Epstein Barr Virus associated gastric cancer. Virology, 109901. iconpdf

  • Sinha, D., Dasmandal, T., Paul, K., Yeasin, M., Bhattacharjee, S., Murmu, S. & Archak, S. (2023). MethSemble-6mA: an ensemble-based 6mA prediction server and its application on promoter region of LBD gene family in Poaceae. Frontiers in Plant Science, 14 iconpdf

  • Murmu, S., & Archak, S. (2023) In-silico study of protein-protein interactions in wheat blast using docking and molecular dynamics simulation approach, Journal of Biomolecular Structure and Dynamicsiconpdf

  • Prabhakaran P, Hebbani AV, Menon SV, Paital B, Murmu, S., Kumar S, Singh MK, Sahoo DK and Desai PPD (2023) Insilico generation of novel ligands for the inhibition of SARS-CoV-2 main protease (3CLpro) using deep learning. Front. Microbials. 14:1194794. iconpdf

  • Samal, I., Bhoi, T. K., Raj, M. N., Majhi, P. K., Murmu, S., Pradhan, A. K., ... & Guru, P. N. (2023). Underutilized legumes: nutrient status and advanced breeding approaches for qualitative and quantitative enhancement.iconpdf

  • Kumar, S., Behera, S.K., Gururaj, K., Chaurasia, A., Murmu, S., Prabha, R., Angadi, U.B., Pawaiya, R.S., Rai, A. (2023). In silico mutation of aromatic with aliphatic amino acid residues in Clostridium perfringens epsilon toxin (ETX) reduces its binding efficiency to Caprine Myelin and lymphocyte (MAL) protein receptors. J Biomol Struct Dyn. 2:1-13. PMID: 37129165 iconpdf

  • Kumari, S., Wankhede, D. P., Murmu, S., Maurya, R., Jaiswal, S., Rai, A., & Archak, S. (2022). Genome-Wide Identification and Characterization of Trihelix Gene Family in Asian and African Vigna Species. Agriculture, 12(12), 2172. iconpdf

  • Samal, I., Bhoi, T. K., Majhi, P. K., Murmu, S., Pradhan, A. K., Kumar, D. & Al Balawi, T. (2023). Combatting insects mediated biotic stress through plant associated endophytic entomopathogenic fungi in horticultural crops.. iconpdf

  • 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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