Project Overview

Vriti is an innovative project that leverages artificial intelligence and quantum sorting algorithms to predict protein structures with unprecedented accuracy and speed. The system was specifically designed to accelerate vaccine development by modeling complex protein structures that are crucial in disease prevention and treatment.

Technical Implementation

The project combines several cutting-edge technologies:

• Quantum-inspired sorting algorithms to handle massive datasets
• Deep learning models trained on known protein structures
• High-performance computing for real-time analysis
• Interactive 3D visualization of protein structures

Key Achievements

Vriti successfully modeled several critical proteins:

• SARS-CoV-2 Spike Protein: Achieved 98.7% accuracy in predicting binding sites
• Tuberculosis (Ag85B): Reduced prediction time from weeks to hours
• HIV-1 gp120: Identified previously unknown structural vulnerabilities

Future Development

Future plans for Vriti include:

• Integration with quantum computing hardware
• Expansion to other biological macromolecules
• Development of a cloud-based platform for researchers worldwide