AI & Machine Learning in Protein Design

This week covers: neural nets for sequence prediction, alphafold & evoformer, generative protein design (transformers, vaes, diffusion models)

Week Progress

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Core Concepts
  • Neural nets for sequence prediction
  • AlphaFold & Evoformer
  • Generative protein design (transformers, VAEs, diffusion models)

Week Content

Section
30-45 min

AI in Protein Science

Machine learning applications in protein design

Required Readings

AlphaFold Paper (Nature 2021)

Required
Read

ML in protein engineering review

Required
Read
Exercises

Coding Exercise

Train simple RNN to generate amino acid strings

Python
Start

Visualization

Plot sequence logos with Logomaker

Interactive
View