About Workshop
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.
Aim
This program aimed at researchers who are attentive in using AlphaFold2 to predict protein structures and integrate these predictions into their ventures.
What Participants Will Learn
- To provide an understanding of the fundamental concepts behind AlphaFold2.
- To evaluate predicted structures from AlphaFold2 by integrating the different confidence metrics
Structure
Day 1:
- Protein Structure Overview
- Protein and their structure Online tools
- Protein Folding problems and role of AI
- Overview of AlphaFold
- Introductory guide to AlphaFold
- AlphaFold strength and limitation
- Structure prediction withAlphaFold
- Protein Structure Prediction AlphaFold, online tool for validation
Important Dates
Workshop Dates
Coming Soon
What You Will Gain
Outcomes
- Mastery of AlphaFold for protein structure prediction.
- Enhanced understanding of AI applications in molecular biology.
- Practical experience with computational tools.
- Ability to contribute to cutting-edge research.
- Improved career prospects in biotech and pharma industries.
- Development of job-ready skills in bioinformatics
Who Should Attend
- 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.