Learn How To Use AlphaFold3 with a Practical Demo | Bioinformatics is Easy
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- เผยแพร่เมื่อ 11 ก.ย. 2024
- Explore the practical demonstration of AlphaFold3 in our latest video. Learn how to use AlphaFold3 for protein structure prediction with step-by-step guidance. This tutorial is perfect for researchers, bioinformaticians, and data scientists looking to enhance their understanding and application of AlphaFold3. Watch to see real-world examples and practical uses of this powerful tool in computational biology. Don't forget to subscribe for more insightful tutorials and demonstrations!
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Very nice tutorial.
Thank you! Cheers!
I happen to see this video when I was watching something in AI. FOr a novice like me do you have any reference to what exactly and how exactly this is used. After you got the model what do you do? any links for absolute basic stuff?
Dear @aedecded, many thanks for your comment. The Alpha-Fold is considered as game changer with great capability to predict 3D structure of protein with high accuracy. As you may know that we all made up of proteins. Proteins are basic structural and functional unit of life and if you really understand the basic functions of the life then you need to have 3D structure of proteins. These 3D structures can further help us to design better theraputics. For instance, drugs to cure HIV were designed when we came to know about its polymerase protein. So, this is really important to have good idea about 3D structure. Therefore, Alpha-fold is pretty important.
The video content is wonderful. But I have a question, I was recently exploring the structure of a protein (Q06890 - CLUS_MOUSE) using AF3, and although the AF predicted tertiary structure of this protein is provided on Uniprot, it does not have the signal peptide removed from the amino acid chain. Therefore, I was going to use AF3 to predict the structure of CLU after the signal peptide was sheared. But CLU has multiple post-translational modifications especially glycosylation. I am going to enter the remaining amino acid sequences after removing the signal peptide amino acids into AF3 for prediction, do I need to edit the PTM option after entering the amino acid sequences? Or do I just input these sequences directly for AF3 to predict?
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