NIT Rourkela Decode Sugar–Protein Code, Paving Way for Advanced Bone Healing Solutions
NIT Rourkela scientists have decoded the complex interaction between sugar molecules and a bone protein, paving the way for advancements in bone regeneration technology.
NIT Rourkela Decode Sugar–Protein Code
Researchers at the National Institute of Technology (NIT) Rourkela have discovered how natural sugar-like molecules in the human body influence Bone Morphogenetic Protein-2 (BMP-2), a key driver of bone formation and repair, a finding published in Biochemistry that could enable advanced bone and cartilage regeneration, better implants, and more effective protein-based therapies.
The NIT Rourkela research team, led by Prof. Harekrushna Sahoo from the Department of Chemistry, along with research scholars Devi Prasanna Behera and Suchismita Subadini, studied how different GAGs influence BMP-2 under “stress” caused by urea-induced chemical denaturation. They found that BMP-2 unfolded more rapidly in the presence of Sulfated Hyaluronic Acid (SHA) compared to regular Hyaluronic Acid or no additives.
The researchers found that SHA binds directly to BMP-2 protein, gently altering its structure and making it unfold in a more controlled manner. Proteins perform vital functions in the body, but their activity depends on precise three-dimensional shapes. BMP-2, essential for bone and cartilage formation, injury repair, and stem cell guidance, interacts with glycosaminoglycans, special sugar-like molecules found in connective tissues and joint fluids.
Speaking about the findings and potential real-world impact of this research, Prof. Harekrushna Sahoo said. “BMP-2 is a critical protein in humans that plays a fundamental role in osteogenesis and bone regeneration, residing within the glycosaminoglycan-rich extracellular matrix environment of bone tissue. Our study reveals how specific GAG–BMP-2 interactions influence unfolding dynamics and structural stability. Furthermore, the work offers a mechanistic basis for tailoring GAG functional group modifications to modulate protein structure and activity, guiding next-generation pharmaceutical formulation.”
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For the General AI category, NIT Rourkela JEE Main cutoff 2025 varied from 3122 to 34766, wherein Computer Science and Engineering was the toughest specialisation. BTech admission to this institution is done through the JEE Main entrance exam score, followed by the JoSSA counselling process, which goes on for multiple rounds.
Below is a table provided detailing NIT Rourkela BTech cutoff 2025 for Round 1 for the General AI candidates. Other categories, round and quota, will have different cutoffs.
| Course | JoSAA Round 1 Cutoff 2025 |
|---|---|
| B.Tech. in Computer Science and Engineering | 3122 |
| B.Tech. in Artificial Intelligence | 3650 |
| B.Tech. in Electronics and Communication Engineering | 5109 |
| B.Tech. in Electronics and Instrumentation Engineering | 8167 |
| B.Tech. in Electrical Engineering | 9416 |
| B.Tech. in Mechanical Engineering | 12248 |
| B.Tech. in Chemical Engineering | 15509 |
| Integrated B.Sc. + M.Sc. in Physics | 16278 |
| B.Tech. + M.Tech. in Chemical Engineering | 16985 |
| B.Tech. in Biomedical Engineering | 22637 |
| B.Tech. in Industrial Design | 22900 |
| Integrated B.Sc. + M.Sc. in Mathematics | 23032 |
| B.Tech. in Civil Engineering | 23208 |
| B.Tech. in Biotechnology | 23562 |
| B.Tech. in Metallurgical and Materials Engineering | 26442 |
| B.Tech. in Ceramic Engineering | 26762 |
| Integrated B.Sc. + M.Sc. in Chemistry | 29185 |
| B.Tech. in Mining Engineering | 29975 |
| B.Tech. + M.Tech. in Metallurgical and Materials Engineering | 30376 |
| Integrated B.Sc. + M.Sc. in Life Science | 30511 |
| B.Tech. in Ceramic Engineering + M.Tech. in Industrial Ceramic Engineering | 31064 |
| B.Tech. + M.Tech. in Mining Engineering | 34630 |
| B.Tech. in Food Process Engineering | 34766 |
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NIT Rourkela offers courses in UG, PG and part-level. The Institute offers admission based on valid scores of accepted entrance exams such as JEE Main/ GATE/ IIT JAM or other equivalent. Candidates are required to qualify for the JoSAA counselling and seek final admission based on the qualification of all the selection rounds.