Learn Protein-Protein Docking
Learn Protein-Protein Docking
In this Course you will learn what is Protein-protein docking, what are the different types of interactions in Protein-protein Complexes and how does it ...
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Protein-protein docking is a computational method used to predict the binding orientation and affinity of two proteins when they come into contact with each other. This can be useful for understanding how proteins function in the body and for drug discovery.
To perform protein-protein docking, researchers use computer algorithms to predict the most stable binding configuration of the two proteins, based on their 3D structures and the forces that influence their interaction. The predicted binding orientation is then evaluated for its stability and for its ability to reproduce known biological data.
There are several different approaches to protein-protein docking, including template-based docking, de novo docking, and docking with flexible side chains. Each approach has its own strengths and limitations, and researchers may use a combination of approaches to improve the accuracy of their predictions.
To learn protein-protein docking, one could start by reading about the different approaches and their underlying principles, and then practice using docking software on sample protein pairs. It can also be helpful to study case studies in the scientific literature to see how protein-protein docking has been applied in real-world scenarios.
What you'll learn
- Protein-Protein Docking using two different tools
- Energy Minimization of Protein using two different tools
- Protein 3D strucuture retrival and Protein preparation for Docking
- Binding site predication using two different tools
- By the end of this course you will be able to carry out protein-protein docking like a pro
- Docking results analysis and interpretation
