Dr. Uttam Kumar Mondal
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Dr. Uttam Kumar Mondal

Assistant Teacher
Lohaganj High School (H.S), Dikul, Dakshin Dinajpur, India

Highest Degree
Ph.D. in Chemistry from University of North Bengal, India

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Biography

Dr. Uttam Kr. Mondal is currently working as Assistant Teacher. His highest degree is PhD. His main area of interest includes Comparative Genomics, Molecular Docking & MD simulation and Phylogram. He has published 21 research articles in national and international journals.

Area of Interest:

Molecular Sciences
100%
Comparative Genomics
62%
Molecular Docking
90%
Genome Analysis
75%
Bioinformatics
55%

Research Publications in Numbers

Books
0
Chapters
0
Articles
21
Abstracts
0

Selected Publications

  1. Chatterjee, A., U.K. Mondal, P. Ghosh, A.K. Bothra and B. Das, 2018. Molecular docking and MD simulation of human renin: Implication on its binding site. Int. J. Green Herbal Chem., 7: 938-943.
  2. Pal, A., R. Banerjee, U.K. Mondal, S. Mukhopadhyay and A.K. Bothra, 2015. Deconstruction of archaeal genome depict strategic consensus in core pathways coding sequence assembly. PloS One, Vol. 10. 10.1371/journal.pone.0118245.
    CrossRef  |  
  3. Sharma, S., U.K. Mondal, S. Mukhopadhyay, A. Sen and A.K. Bothra, 2014. Theoretical Approach For Ligand Based Drug Design Of Lpxc: A Key Enzyme Of Lipid A Biosynthesis. Pharma., 5: 657-675.
  4. Pal, A., U.K. Mondal, S. Mukhopadhyay, A. Sen and A.K. Bothra, 2014. The implication of codon usage design and expression level in determining the nature of selection and functionality amongst the amino acid biosynthetic pathway coding sequences of Arthrobactersp. FB24. Curr. Bioinfo., 9: 470-480.
    CrossRef  |  Direct Link  |  
  5. Ghosh, S., U.K. Mondal, A. Sen and A.K. Bothra, 2014. Comparative analysis and codon usage study of nifD, nifK and nifH genes linked with free living nitrogen fixing bacteria. Int. J. Integr. Biol., 15: 7-10.
  6. Das, B., U.K. Mondal, P. Ghosh and A.K. Bothra, 2013. Molecular dynamics simulation of chick Type IIa receptor protein tyrosine phosphatases sigma. Int. J. Interr. Biol., 14: 1-6.
  7. Mondal, U.K., A. Sen and A.K. Bothra, 2012. Bioinformatics of pathogenic food bacteria. NBU J. Plant Sci., 6: 9-17.
  8. Das, B., U.K. Mondal, S. Sharma, P. Ghosh and A.K. Bothra, 2012. Molecular docking of triazine analogues. J. Chem. Pharm. Res., 4: 1595-1600.
    Direct Link  |  
  9. Pal, A., U.K. Mondal, S. Mukhopadhyay and A.K. Bothra, 2011. Genomic heterogeneity within conservedmetabolic pathways of Arthrobacter species - a bioinformatic approach. Bioinformation, 5: 446-454.
    Direct Link  |  
  10. Mondal, U.K., A.K. Bothra and A. Sen, 2011. Characterization of pathogenic genes through condensed matrix method, case studt through bacterial zeta toxin. Int. J. Genet. Eng. Biotechnol., 2: 109-114.
  11. Mondal, U.K., A. Pal, A. Sen and A.K. Bothra, 2011. Bioinformatic Study of Pathogenicity related genes of three species of helicobacter. Int. J. Appl. Biotechnol. Biochem., 1: 193-200.
  12. Das, B., U.K. Mondal, P. Ghosh and A.K. Bothra, 2011. Molecular dynamics simulation of human bifunctional glutamyl-proyl-tRNA synthetase. J. Chem. Pharm. Res., 3: 964-973.
    Direct Link  |  
  13. Chakraborty, D., U.K. Mondal, A.K. Bothra and A. Sen, 2011. Molecular dynamics simulation of hydrogenase isoenzyme formation protein HypC. IUP J. Biotechnol., 5: 56-64.
    Direct Link  |  
  14. Sen, A., S. Sur, L.S. Tisa, A.K. Bothra, S. Thakur and U.K. Mondal, 2010. Homology modelling of nitrogenous iron proteins from three Frankia strains. Symbiosis, 50: 37-44.
    CrossRef  |  
  15. Mondal, U.K., A. Sen and A K. Bothra, 2010. Homology modeling of the Cytolethaldistending toxin B gene of Helicobacter hepaticus ATCC 51449. Int, J. Interrogative Biol., 10: 35-44.
  16. Mondal, U.K., A. Sen and A.K. Bothra, 2009. Similarities and differences in motional properties of Staphylococcus aureus exfoliative toxins A and B as revealed by their Molecular dynamics simulation. Int. J. Interrogative Biol., 8: 19-24.
  17. Mondal, U.K., A. Sen and A.K. Bothra, 2009. Molecular Dynamics Simulation receptor-binding C-terminal domain from Clostridium difficile toxin A. ICFAI J. Biotechnol., 3: 22-37.
  18. Mondal, U.K., S. Sur, A.K. Bothra and A. Sen, 2008. Comparative analysis of codon usage patterns and prediction of highly expressed genes in five Salmonella genomes. Indian J. Med. Microbiol., 26: 313-321.
    PubMed  |  
  19. Mondal, U.K., B. Das, T.C. Ghosh. A. Sen. and A.K. Bothra, 2008. Nucleotide Triplet Based Molecular Phylogeny of Class I and Class II Aminoacyl t-RNA Synthetase in Three Domain of Life Process: Bacteria, Archaea, and Eukarya. J. Biomol. Struct. Dyn., 26: 321-328.
  20. Sen, G., S. Sur, D. Bose, U. Mondol, T. Furnholm, A.K. Bothra, L.S. Tisa and A. Sen, 2007. Analysis of codon usage patterns and predicted highly expressed genes for six phytopathogenic Xanthomonas genomes shows a high degree of conservation. In Silico Biol., 7: 547-558.
    PubMed  |  
  21. Mondal, U., S. Sur, A. Sen and A. Bothra, 2007. Codon volatility: An efficient tool to detect the purity of genes. ICFAI J. Biotech., 1: 45-49.