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Biotechnology · Beginners · Live online

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

Unlocking Protein Structures: Harnessing AI with AlphaFold

IST3 Days (1.5 hours per day)Certificate

About This Course

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.

Workshop Objectives

  • To provide an understanding of the fundamental concepts behind AlphaFold2.
  • To evaluate predicted structures from AlphaFold2 by integrating the different confidence metrics
Next: Day-by-day →

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

Who Should Enrol?

  • 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
Next: Fees →

Fee Structure

Standard: ₹4,998 | $110

Discounted: ₹2499 | $55

Next: FAQ →

Frequently asked questions

Will I get the recording?

Yes. Paid participants get the session recordings and study material in their NanoSchool dashboard (My registrations → Recorded Lectures / Study Material).

What if I miss a live session?

Watch the recording in your dashboard and send your questions to the mentor through the support desk.

Do I get a certificate?

Yes, an e-certificate of participation after the workshop, with a QR code anyone can verify and an "Add to LinkedIn" button.

Which fee category applies to me?

Choose the category that matches your current role: Student, Ph.D. Scholar / Researcher, Academician / Faculty or Industry Professional.

How can I pay?

By card, UPI or PayPal on the payment page; international bank transfer is also available there.

What is the refund policy?

See our Returns, Refunds & Cancellation policy: Returns, Refunds & Cancellation policy

Need Help?

We’re here for you!


(+91) 120-4781-217
 WhatsApp +91 99581 61117

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