early times report
New Delhi, Dec 26: The Nipah virus is a recurring health emergency in India, yet finding a cure is dangerously slow because physically testing thousands of compounds is costly and often leads to failure. Grade XII student Vihaan Agrawal addressed this crisis by engineering a specialized "multi-stage computational pipeline" designed to identify effective treatments faster than standard methods.
Vihaan’s approach rejects the "gamble" of typical computer screening. Instead, he built a system that treats the virus protein as a flexible, moving target—essential for accurate predictions—rather than a static shape. To ensure the results were scientifically sound, he challenged the system with "decoys" (fake drug candidates), proving it could statistically distinguish true hits from random noise.
The result is a prioritized list of verified compounds that is ready for in vitro trials. By offering a list of accessible, small-molecule inhibitors, this work allows national labs like ICMR to skip the guesswork and start testing the most probable cures immediately. |
