Protein Structure Prediction is the process of determining the three-dimensional shape of a protein based on its amino acid sequence. Proteins are essential molecules in living organisms, and their function is closely related to their structure. Understanding how proteins fold can help scientists predict their behavior and interactions in biological systems. Various computational methods and algorithms are used in Protein Structure Prediction, including machine learning and molecular dynamics simulations. These techniques analyze patterns in known protein structures to make predictions about unknown ones. Accurate predictions can aid in drug design and understanding diseases linked to protein misfolding.