Protein Structure Prediction
Welcome to Module 5 of "Bioinformatics Fundamentals": Protein Structure Prediction. In this module, we will delve into the fascinating world of protein structure and explore the computational methods used to predict and visualize these crucial biological molecules.
Proteins are the workhorses of the cell, carrying out a vast array of essential functions. Understanding their three-dimensional structure is crucial for unraveling the mechanisms behind their remarkable capabilities. However, experimentally determining protein structures can be a time-consuming and challenging process.
Throughout this module, we will examine the various algorithms and approaches used in protein structure prediction, including homology modeling, ab initio methods, and machine learning-based techniques. We will also explore the tools and software available for visualizing and analyzing predicted protein structures.
Join us as we embark on this captivating journey, where we uncover the secrets of protein structure and unlock the potential for groundbreaking advancements in fields such as medicine, biotechnology, and beyond.

Learning Objectives

Lesson 5.1 Protein Structure and Function Gain an understanding of the importance of protein structure in biological function and the principles underlying protein folding. Lesson 5.2 Prediction Methods Explore computational techniques and algorithms used for predicting protein structures, including homology modeling, ab initio modeling, and threading methods. Lesson 5.3 Visualization Tools Learn about software tools and visualization techniques used to analyze and interpret protein structures, enhancing understanding and facilitating research.