Niranjan Kumar – Unlocking Drug Discovery: The Future of Computational Bioinformatics is Here!

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Niranjan Kumar’s CV

Intro Summary
Highly dynamic and motivated [hidden] holder in Computational Biology & Bioinformatics with expertise in virtual screening, free energy estimation, structural bioinformatics, and AI/ML applications in public healthcare and drug discovery. Seeking a teaching position with a research focus, possessing excellent communication skills and a keen eye for problem-solving within diverse environments.


PERSONAL PROFILE

I am looking for a teaching position with research. I have excellent communication skills and look for a bigger picture while solving a problem. I am strong, independent, and flexible to work in any kind of environment as required. My research focuses on virtual screening and free energy estimation for identifying potential inhibitors against mycobacterium tuberculosis. I am good in structural bioinformatics and also have experience of working with AI/ML for public healthcare and drug discovery. I am a highly dynamic, motivated, and multitasking person, and I know how to perceive any project from beginning to end.


EDUCATION

  • Jawaharlal Nehru University (JNU), New Delhi, India – [hidden] in Computational Biology & Bioinformatics (SC&IS) 2016-2021
  • Jawaharlal Nehru University (JNU), New Delhi, India – Master of Technology, Computational & Systems Biology 2012-2014
  • [hidden] Central University, Sagar ([hidden]) Madhya Pradesh,India – Master of Science, Biotechnology 2009-2011
  • Magadh University, A N College, Patna, India – Bachelor of Science (Biotech.) 2005-2008

RESEARCH EXPERIENCE

  • JNU, New Delhi, India – Research Fellow-University Grant Commission (UGC), Govt. of [hidden] Scholar 2016-2021
  • DRDO (INMAS), New Delhi, India – [hidden] Dissertation ([hidden] 2011)

AWARDS/ACADEMIC ACHIEVEMENTS

  • DBT-fellowship during [hidden] awarded by Department of science and technology, New Delhi
  • ASRB-NET (equivalent to CSIR-UGC-NET), Qualified-2014
  • GATE (XL) Qualified-2011

[hidden] PUBLICATIONS

  • Niranjan Kumar, Rakesh Srivastava, Amresh Prakash, Andrew M. Lynn. “Structure-based virtual screening molecular dynamics simulation and MM-PBSA towards identifying the inhibitors for Two-component regulatory system protein NarL of Mycobacterium tuberculosis”, Journal of Biomolecular Structure Dynamics, 2019
  • Niranjan Kumar, Rakesh Srivastava, Amresh Prakash, Andrew M. Lynn. Virtual screening and free energy estimation for identifying Mycobacterium tuberculosis flavoenzyme DprE1 inhibitors”, Journal of Molecular Graphics and Modeling, 2020
  • Deep Bhowmik, Rajat Nandi, Rahul Jagadeesan, Niranjan Kumar, Amresh Prakash, Diwakar Kumar. “Identification of potential inhibitors against SARS-CoV-2 by targeting proteins responsible for envelope formation and virion assembly using docking based virtual screening, and pharmacokinetics approaches” Infection, Genetics and Evolution, 2020
  • Niranjan Kumar, [hidden] Identifying the novel inhibitors against the mycolic acid biosynthesis pathway target “mtFabH” of Mycobacterium tuberculosis”, Frontier in Microbiology”, 2022
  • Niranjan Kumar, Rakesh Srivastava. “Deep Learning in Structural Bioinformatics: Current Applications and Future Perspectives”, Briefing in bioinformatics”, 2024

Presentations in International Conferences/Workshops

  • Niranjan Kumar, High Throughput Virtual Screening and simulation studies to identify potential inhibitors for flavoenzyme decaprenylphosphoryl-β-D-ribose epimerase (DprE1) of Mycobacterium tuberculosis. (Incob 2018), Jawaharlal Nehru University, New Delhi
  • Niranjan Kumar., Hybrid approach to screen chemical libraries against Mycobacterium tuberculosis. International Conference on Bioinformatics and Systems Biology (BSB 2018), Indian Institute of Information Technology, Allahabad
  • Niranjan Kumar, Rakesh Srivastava, Ambresh Prakash, Andrew M Lynn., Identification of potential drug candidates for flavoenzyme decaprenyl- β-D-ribose epimerase (DprE1) of Mycobacterium tuberculosis using silico approaches. In ISCBSC-RSG Indian student symposium 2019 on Computational Biology: Connecting domain of science held on 22nd 2019 at Jawaharlal Nehru University, New Delhi, India.

Referees

  • Dr. Naveen Kango – Professor & Head, Department of Microbiology, Dr. [hidden] Gour Central University, Sagar, Madhya Pradesh, India
  • Dr. Vineet Kumar Kamal – Assistant Professor, Department of Biostatistics, AIIMS, Kalyani
  • Dr. Basant Kumar Tiwary – Professor, Department of Bioinformatics, Pondicherry University, Puducherry

Skills

Keywords: Computational Biology, Bioinformatics, Virtual Screening, Structural Bioinformatics, AI/ML, Research, Problem Solving, Communication



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