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Mr. Niraj Kumar | Structural Biology | Best Paper Award

Niraj Kumar at UNESCO, Regional Centre For Biotechnology, India

Summary:

Mr. Niraj Kumar is a Ph.D. research scholar specializing in structural biology and translation regulation at the Regional Centre for Biotechnology, NCR Biotech Science Cluster, Faridabad. His research focuses on the survival mechanisms of Mycobacterium tuberculosis, particularly how the bacterium modifies protein synthesis under stress conditions. With expertise in cryo-EM and molecular biology techniques, Niraj has received international recognition for his work, winning the Best Cryo-EM Microstructure Award in 2024. His long-term goal is to deepen his understanding of ribosomal function using advanced cryo-EM techniques.

Professional Profile:

👩‍🎓Education:

Niraj Kumar completed his B.Sc. in Industrial Microbiology, Botany, and Chemistry from Ch. Charan Singh University, Meerut, in 2014. He then earned his M.Sc. in Microbiology from the same institution in 2016. Currently, he is pursuing his Ph.D. at the Regional Centre for Biotechnology, NCR Biotech Science Cluster, Faridabad, Haryana, under the supervision of Dr. Prem S. Kaushal. His doctoral research, which began in 2019, focuses on structural biology and translation regulation in the context of Mycobacterium tuberculosis.

🏢 Professional Experience:

As a Ph.D. research scholar, Niraj Kumar has gained significant experience in structural biology, with a particular emphasis on cryo-electron microscopy (cryo-EM). He is part of a cutting-edge research team that investigates how Mycobacterium tuberculosis adapts its translational mechanisms to survive in stressful environments, such as hypoxia. Niraj’s technical expertise includes cryo-EM sample preparation, ribosome purification, protein purification, gene cloning, site-directed mutagenesis, and X-ray crystallography. He has also mastered computational tools like Relion3.1.4, Coot, ChimeraX, PyMol, GROMACS, and more for single-particle reconstruction analysis.

In addition to his research, Niraj’s work has been recognized at the international level. He won the Best Cryo-EM Microstructure Award at the 2024 International Conference on Electron Microscopy organized by the Electron Microscope Society of India (EMSI). He has also qualified for several prestigious examinations, including the CSIR NET/JRF, ICAR NET-ARS, GATE in Life Sciences, and the ICAR NET in multiple years.

Research Interests:

Niraj Kumar’s research primarily focuses on how Mycobacterium tuberculosis adapts its protein synthesis machinery to survive under low-oxygen (hypoxic) conditions. Using cryo-EM single-particle reconstruction, he has studied the structure of the 70S ribosome in complex with the hibernation promotion factor (RafH), which is induced during hypoxia. His 2.8 Å resolution structure reveals that RafH binding blocks all three modes of translation initiation, shields the ribosome from degradation, and prevents ribosome-targeting antibiotics from binding. Moving forward, Niraj aims to expand his expertise in Cryo-electron tomography and Cryo-FIB SEM to further explore ribosome function in a cellular context under stress conditions.

Author Metrics:

Niraj Kumar is an emerging researcher with a growing body of work. His publication on the 70S ribosome structure with the RafH complex has garnered attention, contributing to the understanding of bacterial protein synthesis and antibiotic resistance. He continues to publish and present his research at scientific conferences, expanding his footprint in the field of structural biology.

Top Noted Publication:

The spectrum of neurologic disease associated with anti-GM1 antibodies

  • Authors: SA Sadiq, FP Thomas, K Kilidireas, S Protopsaltis, AP Hays, KW Lee, D Hays
  • Journal: Neurology
  • Volume: 40, Issue: 7, Page: 1067-1067
  • Year: 1990
  • Citations: 303

Paradigms of climate change impacts on some major food sources of the world: A review on current knowledge and future prospects

  • Authors: A Tripathi, DK Tripathi, DK Chauhan, N Kumar, GS Singh
  • Journal: Agriculture, Ecosystems & Environment
  • Volume: 216, Pages: 356-373
  • Year: 2016
  • Citations: 302

Federated learning enables big data for rare cancer boundary detection

  • Authors: S Pati, U Baid, B Edwards, M Sheller, SH Wang, GA Reina, P Foley, …
  • Journal: Nature Communications
  • Volume: 13, Article Number: 7346
  • Year: 2022
  • Citations: 178

Evaluation of Ophthacare® eye drops—a herbal formulation in the management of various ophthalmic disorders

  • Authors: NR Biswas, SK Gupta, GK Das, N Kumar, PK Mongre, D Haldar, S Beri
  • Journal: Phytotherapy Research
  • Volume: 15, Issue: 7, Pages: 618-620
  • Year: 2001
  • Citations: 152

Development and evaluation of deep learning–based segmentation of histologic structures in the kidney cortex with multiple histologic stains

  • Authors: CP Jayapandian, Y Chen, AR Janowczyk, MB Palmer, CA Cassol, …
  • Journal: Kidney International
  • Volume: 99, Issue: 1, Pages: 86-101
  • Year: 2021
  • Citations: 133
Niraj Kumar | Structural Biology | Best Paper Award

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