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.

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Workshop Objectives

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

Workshop Structure

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

Participant’s Eligibility

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.

Workshop 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

Fee Structure

Standard Fee: INR ~~4,998~~ USD ~~110~~

Discounted Fee: INR 2499 USD 55

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