Description:
This course delves into the techniques for predicting secondary and 3D protein structures, visualizing them, and evaluating their quality. Protein structure analysis is crucial in understanding protein function, interactions, and its applications in fields such as drug discovery and molecular biology. This part of the course will equip learners with the tools and methods necessary for accurately predicting protein structures, visualizing them for further study, and evaluating their quality to ensure their usability in research.
Learning Outcomes:
By the end of this part of the course, learners will be able to:
Predict the secondary structure of proteins using bioinformatics tools to understand folding patterns like alpha helices and beta sheets.
Model and predict the 3D structure of proteins using sequence data and computational techniques such as homology modeling and ab initio prediction.
Visualize 3D protein structures using visualization tools to understand their spatial arrangement and key structural features.
Evaluate the accuracy and quality of predicted 3D protein structures using evaluation tools to ensure their biological relevance.