Protein Structure Prediction Using AI

Understanding Protein Structure is crucial a as a protein’s three dimension (3D) configuration. Traditional laboratory methods, including x-ray crystallography and Nuclear Magnetic Resonance (NMR), provide precise structural details bit are expensive, labor-intensive, and time consuming. With exponential growth of protein sequence data, computational methods have become essential for bridging the gap between sequence availability and structural knowledge. This paper introduces a web-based platform that leverages Artificial Intelligence (AI) and Deep Learning to predict protein structure from Amino acid Sequences. The system integrates a secure backend with modern web technologies to deliver accurate predictions and interactive 3D visualization. Users can put input amino acid sequence, Obtain predicted 3D structures, and explore them within browser environment. The platform demonstrates hoe AI-enabled protein structure prediction can be made accessible for educational, research, and computational biology applications.