Protein Structure Prediction

This lecture focuses on predicting the structure of proteins by analyzing the contact between amino acids. The instructor explains the importance of multiple sequence alignment, covariance matrix, mutual information, and direct coupling analysis (DCA). The mean field DCA implementation is highlighted for its speed and accuracy in predicting protein contacts. The lecture also covers the use of maximum entropy modeling, pseudo-likelihood method, and regularization techniques to improve contact prediction in proteins.