Prediction of Protein Structure Using AlphaFold: An Artificial Intelligence (AI) Program

Proteins are important gears of life and in order to understand the functions of proteins at a molecular level, it is necessary to determine its 3D structure which enables researchers to get an insight into its function and their role, or more, specific spatial conformations to perform its biological function, driven by a number of noncovalent interactions. AlphaFold is an artificial intelligence (AI) system, industrialized by Google DeepMind, that predicts a protein’s 3D structure based on its primary amino acid sequence. It regularly achieves accuracy competitive with experimental results.

• To provide an understanding of the fundamental concepts behind AlphaFold2.
• To evaluate predicted structures from AlphaFold2 by integrating the different confidence metrics

Day 1:

• Protein Structure Overview
• Protein and their structure Online tools
• Protein Folding problems and role of AI

Day 2:

• Overview of AlphaFold
• Introductory guide to AlphaFold
• AlphaFold strength and limitation

Day 3:

• Structure prediction withAlphaFold
• Protein Structure Prediction AlphaFold, online tool for validation

• Undergraduate degree in Biology, Bioinformatics, Computational Biology, or related fields.
• Professionals in the biotechnology, pharmaceutical, or healthcare industries.
• Researchers and academics with a focus on molecular biology and structural biology.
• Individuals with a keen interest in AI applications in life sciences.