Dr. Amit Kumar Banerjee
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Dr. Amit Kumar Banerjee

Senior Researcher
Indian Institute of Chemical Technology, India


Highest Degree
Ph.D. in Bioinformatics and Computational Biology from Indian Institute of Chemical Technology, India

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Biography

Dr. Amit Kumar Banerjee is having more than 15 years of experience in conducting scientific research and scientific writing including project planning, executing, medical writing, team management, publishing, biomedical research data analysis, and clinical research. He completed his doctoral degree from CSIR-IndianInstitute of Chemical Technology, Hyderabad, India and is having extensive research experience in Government and corporate setups as a senior researcher. He is associated as a researcher, scientific writer, editor, and reviewer to different organizations, publishers and several journals of national and international repute in various capacities.

His research areas include computational biology, system biology, application of machine learning techniques and biological “BIG DATA”, bioinformatics analyses of vector borne diseases, NGS data analysis, sequence analysis, microRNA, comparative genomics, small RNA predictions, phylogeny, molecular modeling, and clinical data analysis and medical writing.

He has been awarded by several leading international organizations and societies including Marquis Who’s Who, USA; Applied Zoologist Research Association, India; American Biographical Institute, USA; International Biographical Centre, Cambridge, UK for his scientific contributions in employing computational approaches to understand vector borne diseases such as Malaria, Dengue, Chikungunya and other diseases and implementation of intelligent techniques in classification of biological data.

His academic credentials include B.Sc. (honors) in Human Physiology followed by M.Sc., and M.Phil. in Biotechnology and Ph.D. in computational biology (Zoology). Apart from this, he holds a PG diploma in Patent Laws, Advanced Diploma in Bioinformaticsand national level Advanced Course in Bioinformatics (jointly conducted by CDAC, CSIR-IICT and JNTU-H).

He has published 80+ scientific articles in reputed international and national journals published by most of the leading publishers including Elsevier, Wolter-Kluwers, Springer, Bentham Science, John-Wiley, and others till now. His publications also appeared in many national and international conferences. He has written 7 book chapters till now. His contributions remained well recognized and cited by the fellow research community.

Area of Interest:

Biomedical Sciences
100%
Genomics
62%
Proteomics
90%
Homology Modeling
75%
Evolutionary Algorithms
55%

Research Publications in Numbers

Books
0
Chapters
7
Articles
65
Abstracts
12

Selected Publications

  1. Swatantra, K., M.K. Vimal, T. Sneham, B. Amit K, A. Neelima, C.V. Sai, N. Debadatta, K. Anil, M.K. Raj, G. Srinivasulu and S.K. Shailendra, 2020. Comparative analysis of hemagglutinin of 2013 H3N2 influenza A virus indicates its evolution from 1968 H3N2 pandemic influenza A virus. Arch. Prev. Med., 5: 001-015.
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  2. Banerjee, A.K. and N. Arora, 2020. Machine learning techniques in biological data classification and clustering: Initiation of a scientific voyage. Peer Sci., 10.5281/zenodo.3747589.
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  3. Banerjee A. K. and Arora N., 2020. Coronavirus Disease (COVID-19) Pandemic: A Race Against Time. Curr., Top., Med., Chem., 20: ---.
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  4. Arora, N., A.K. Banerjee and M.L. Narasu, 2020. The role of artificial intelligence in tackling COVID-19. Future Virol., 15: 717-724.
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  5. Banerjee, A.K., 2019. Meet our executive guest editor. Curr. Top. Med. Chem., 19: 173-173.
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  6. Arora, N. and A.K. Banerjee, 2019. Dereplication in natural product discovery. Curr. Top. Med. Chem., 19: 101-102.
  7. Arora, N. and A.K. Banerjee, 2019. Computer aided drug design for combating diseases (Part-III). Curr. Top. Med. Chem., 18: 2741-2742.
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  8. Arora, N. and A.K. Banerjee, 2019. Computer aided drug design for combating diseases (Part-II). Curr. Top. Med. Chem., 18: 2631-2632.
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  9. Choudhury, A., T. Sahu, P.L. Ramanujam, A.K. Banerjee, I. Chakraborty, A. Kumar and N. Arora, 2018. Neurochemicals, behaviours and psychiatric perspectives of neurological diseases. Neuropsychiatry, 8: 395-424.
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  10. Banerjee, A.K. and N. Arora, 2018. Neurology in the light of genomics: Application of NGS and GWAS in understanding complex neurological disorders. Neuropsychiatry, 8: 1115-1131.
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  11. Arora, N., A.K. Banerjee and M.L. Narasu, 2018. Zika outbreak aftermath: Status, progress, concerns and new insights. Future Virol., 13: 539-556.
  12. Arora, N., A.K. Banerjee and M.L. Narasu, 2018. Structural analysis of the Babesia microti thioredoxin reductase: A potential drug target for babesiosis treatment. Biomed. Res., 29: 2197-2214.
  13. Arora, N. and A.K. Banerjee, 2018. Computer aided drug designing for combating diseases. (Part III). Curr. Top. Med. Chem., 18: 2741-2742.
  14. Arora, N. and A.K. Banerjee, 2018. Computer aided drug designing for combating diseases. (Part II). Curr. Top. Med. Chem., 18: 2631-2632.
  15. Arora, N. and A.K. Banerjee, 2018. Computer aided drug designing for combating diseases (Part 1). Curr. Top. Med. Chem., 18: 1029-1030.
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  16. Arora, N., M.L. Narasu and A.K. Banerjee, 2016. Shikimate kinase of Yersinia pestis: A sequence, structural and functional analysis. Int. J. Biomed. Data Mining, Vol. 5. 10.4172/2090-4924.1000119.
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  17. Arora, N., K.B. Amit and L.N. Mangamoori, 2016. Disturbing trend in maternal mortality rate. Br. Med. J., 10.1136/bmj.h6129.
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  18. Arora, N., A.K. Banerjee and M.L. Narasu, 2016. Zika virus: An emerging arboviral disease. Future Virol., 11: 395-399.
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  19. Shinde, S.P., A.K. Banerjee, N. Arora, U.S.N. Murty, V.R. Sripathi, M. Pal-Bhadra and U. Bhadra, 2015. Computational approach for elucidating interactions of cross-species miRNAs and their targets in Flaviviruses. J. Vector Borne Dis., 52: 11-22.
    PubMed  |  Direct Link  |  
  20. Banerjee, A.K., 2015. Computation in analyzing inflammation: A general perspective. Interdisciplin. J. Microinflamm., Vol. 2. .
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  21. Murty, U.S.N., A.K. Banerjee and J. Wu, 2014. West Nile Virus: A Narrative from Bioinformatics and Mathematical Modeling Studies. In: Analyzing and Modeling Spatial and Temporal Dynamics of Infectious Diseases, Chen, D., B. Moulin and J. Wu (Eds.). 1st Edn., Chapter 3, JohnWiley and Sons, Hoboken, NJ., USA., ISBN-13: 9781118629932, pp: 45-76.
  22. Banerjee, A.K. and N. Arora, 2014. Envelope protein may turn into an effective drug target for hepatitis C in the near future. Br. Med. J., Vol. 349. 10.1136/bmj.g3308.
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  23. Sreenidhi, A.K., A.K. Banerjee and U.S. Murty, 2013. An in silico approach to identify the miRNA origin in Nematodes: A case study on Caenorhabditis briggsae. Proceedings of the Indo-Taiwan Workshop on Frontiers in Biological Sciences, April 8-9, 2013, Hyderabad, India -.
  24. Bhavani, D., A.K. Banerjee and U.S.N. Murty, 2013. Understanding the structural and functional aspects of Aurora Kinase (AUK) in Drosophila sp. Proceedings of the Indo-Taiwan Workshop on Frontiers in Biological Sciences, April 8-9, 2013, Hyderabad, India -.
  25. Banerjee, A.K., V. Ravi, U.S.N. Murty, N. Sengupta and B. Karuna, 2013. Application of intelligent techniques for classification of bacteria using protein sequence-derived features. Applied Biochem. Biotechnol., 170: 1263-1281.
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  26. Banerjee, A.K., V. Ravi, U.S.N. Murty, A.P. Shanbhag, V.L. Prasanna, 2013. Keratin protein property based classification of mammals and non-mammals using machine learning techniques. Comput. Biol. Med., 43: 889-899.
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  27. Banerjee, A.K., N. Arora and U.S.N. Murty, 2013. Critical concerns in meta-analysis for clinical and pharmacological information. Br. Med. J., Vol. 347. .
  28. Banerjee, A.K. and N. Arora, 2013. Addition of structural component can make FDA drug repository a mighty gateway for more computational analysis. Br. Med. J., Vol. 347. .
  29. Arora, N. and A.K. Banerjee, 2013. Under-5 mortality: A shame to civilized human society. Br. Med. J., Vol. 347. .
  30. Saxena, S.K., A. Gupta, K. Bhagyashree, R. Saxena and N. Arora et al., 2012. Targeting strategies for Human immunodeficiency virus: A combinatorial approach. Mini. Rev. Med. Chem., 12: 236-254.
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  31. Manika, P.B., A. Neelima, S. Shinde, R. Paramita and B.A. Kumar et al., 2012. Target sites for microRna expressed in pancreatic islets in type 2 diabetes mellitus associated genes. Online J. Bioinfo., 11: 224-243..
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  32. Banerjee, A.K., N. Arora, U.S. Murty, 2012. Analyzing a potential drug target n-myristoyltransferase of Plasmodium falciparum through in silico approaches. J. Global. Infect. Dis., 4: 43-54.
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  33. Banerjee, A.K., N. Arora and U.S.N. Murty, 2012. Aspartate carbamoyltransferase of Plasmodium falciparum as a potential drug target for designing anti-malarial chemotherapeutic agents. Med. Chem. Res., 21: 2480-2493.
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  34. Banerjee, A.K. and S. Bharati, 2012. USN murty sequence an structural analysis of arginine deiminase from Borreliasp. Proceedings of the Understanding a Novel Target towards Cure, Global Meet of Biologists, December 26-28, 2012, Hyderabad, India -.
  35. Arora, N. and A.K. Banerjee, 2012. Targeting tuberculosis: A glimpse of promising drug targets. Mini Rev. Med. Chem., 12: 187-201.
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  36. Arora, N. and A.K. Banerjee, 2012. New targets, new hope: Novel drug targets for curbing malaria. Mini Rev. Med. Chem., 12: 210-226.
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  37. Arora, N. and A.K. Banerjee, 2012. Editorial: [Hot topic: Looking beyond the obvious: Search for novel targets and drugs for reducing the burden of infectious diseases (Guest Editor: Neelima Arora)]. Mini Rev. Med. Chem., 12: 185-186.
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  38. Murty, U.S. and A.K. Banerjee, 2011. Seaweeds: the wealth of oceans. In: In: Handbook of Marine Macroalgae, Biotechnology and Applied Phycology, Kim. S.K. (Ed.)., JohnWiley and Sons, Ltd. .
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  39. Eswari, S., A.K. Banerjee and Ch. Venkateswarlu, 2011. Application of denavit-hartenberg rotation matrix and differential evolution for protein structure prediction. Proceedings of the International Conference and Exhibition on Proteomics and Bioinformatics, June 6-8, 2011, Hyderabad, India -.
  40. Banerjee, A.K., N. Harikrishna, J.V. Kumar and U.S. Murty, 2011. Towards classifying organisms based on their protein physicochemical properties using comparative intelligent techniques. Applied Arti. Intell., 25: 426-439.
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  41. Banerjee, A.K. and U.S.N Murty, 2011. Understanding Plasmodium falciparum as a drug target using computational approaches: Case study of important target proteins. Proceedings of the Young Scientists Convention of A.P. Akademi of Scienceb, October 27-28, 2011, Acharya Nagarjuna University, Guntur, pp: 66-67.
  42. Arora, N., A.K. Banerjee and U.S.N. Murty, 2011. Illuminating the Field of Entomology: An Overview of Application of Markers Based Technology. In: Entomology: Ecology and Biodiversity, Tyagi, B.K. and V. Veer, (Eds.). Scientific Publishers, India.
  43. Murty, U.S.N. and A.K. Banerjee, 2010. Bioinformatics with Solutions in Pest Management Science, an Insight into the Evolving Technologies. In: Pests and Pathogens, Management Strategies, Vudem, D.R., N.P. Rao and V.R. Khareedu (Eds.), BS Publications, Hyderabad India, pp: 521-542.
  44. Duddela, S., P.N. Sekhar, G.V. Padmavathi, A.K. Banerjee and U.S.N. Murty, 2010. Probing the structure of human glucose transporter 2 and analysis of protein ligand interactions. Med. Chem. Res., 19: 836-853.
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  45. Banerjee, A.K., M. Sunita, N. Mungara and U.S.N. Murty, 2010. Classification and clustering analysis of pyruvate dehydrogenase enzyme based on their physicochemical properties. Bioinformation, 4: 456-462.
    PubMed  |  Direct Link  |  
  46. Banerjee, A.K., B.P. Manasa, U.S. Murty, 2010. Assessing the relationship among physicochemical properties of proteins with respect to hydrophobicity: A case study on AGC Kinase superfamily. Indian J. Biochem. Biophys., 47: 370-377.
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  47. Arora, N., A.K. Banerjee and U.S.N. Murty, 2010. Homology model of 2C-methyl-d-erythritol 2, 4-cyclodiphosphate (MECP) synthase of Plasmodium falciparum 3D7. Elect. J. Biol., 6: 52-57.
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  48. Arora, N., A.K. Banerjee and U.S.N. Murty, 2010. In silico characterization of Shikimate Kinase of Shigella flexneri: A potential drug target. Interdiscip. Sci. Comput. Life Sci., 2: 280-290.
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  49. Arora, N. and A.K. Banerjee, 2010. Emerging trends, challenges and prospects in healthcare in India. Elect. J. Biol., 6: 24-25.
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  50. Murty, U.S.N., A.K. Banerjee and N. Arora, 2009. An in silico approach to cluster CAM kinase protein sequences. J. Proteomics Bioinf., 2: 97-107.
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  51. Murty U., A. Banerjee and N. Arora, 2009. Application of Kohonen maps for solving the classification puzzle in AGC kinase protein sequences. Interdiscip. Sci. Comput. Life Sci., 1: 173-178.
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  52. Banerjee, A.K., N. Arora and U.S. Murty, 2009. Structural model of the Plasmodium falciparum thioredoxin reductase:a novel target for antimalarial drugs. J. Vector Borne Dis., 46: 171-183.
    PubMed  |  Direct Link  |  
  53. Banerjee, A.K., N. Arora and U.S. Murty, 2009. Clustering and Classification of Anopheline Spacer Sequences using Self Organizing Maps. Inter. J. Genomics Proteomics, Vol: 7, 10.5580/15b.
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  54. Arora, N., A.K. Banerjee, M. Srilaxmi and U.S.N. Murty, 2009. Comparative characterization of commercially important xylanase enzymes. Bioinformation, 3: 446-453.
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  55. Banerjee, A.K., N. Arora, V. Pranitha and U.S.N. Murty, 2008. Exploring the Interplay of sequence and structural features in determiming the flexibility of agc kinase protein family: A bioinformatics approach. J. Proteomics Bioinf., 1: 77-89.
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  56. Banerjee, A.K., N. Arora, U.S.N. Murty, 2008. Classification and regression tree (CART) analysis for deriving variable importance of parameters influencing average flexibility of CaMK kinase family. Electron. J. Biol., 4: 27-33.
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  57. Banerjee, A.K., K. Kiran, U.S. Murty and C. Venkateswarlu, 2008. Classification and identification of mosquito species using artificial neural networks. Computat. Biol. Chem., 32: 442-447.
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  58. Arora, N., A.K. Banerjee and A. Banerjee, 2008. The tilted balance of healthcare. Internet J. World Health Societal Politics, Vol. 5, No. 1. .
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  59. Banerjee, A.K., N. Arora and U.S.N. Murty, 2007. Stability of ITS2 secondary structure in Anopheles: What lies beneath? Int. J. Integ. Biol., 1: 232-238.
  60. Banerjee, A.K., N. Arora and U.S.N. Murty, 2007. How far is ITS2 reliable as a phylogenetic marker for the mosquito genera?. Electron. J. Biol., 3: 61-68.
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  61. Banerjee, A.K., 2007. An insight into the ethical issues related to in vitro fertilization. Internet J. Health, Vol. 6, No. 1. .
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  62. Banerjee, A.K. and U.S.N. Murty, 2007. Extracting the significant descriptors by 2D QSAR and docking efficiency of NRTI drugs: A molecular modeling approach. Internet J. Genom. Proteomics, Vol. 2, No. 2. .
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  63. Arora, N., U.V.N.M. Chari, A.K. Banerjee and U.S.N. Murty, 2007. A computational approach to explore Plasmodium falciparum 3D7 chorismate synthase. Int. J. Genomics Proteomics, Vol. 3. .
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  64. Arora, N., A.K. Banerjee, U.V.N. Mallikarjuna Chari and U.S. Murty, 2007. Peeping into the Plasmodium falciparum chorismate synthase, a virtual analysis. In: In: Perspective in Cytology and Genetics, Giri. A.K. and A. Mukherjee (Eds.), All India Congress of Cytology and Genetics, pp: 320-331..