https://github.com/adamtest24/languagemodels

https://github.com/adamtest24/languagemodels

Science Score: 13.0%

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Metadata Files
Readme

README.md

Language Model Material

Chapter 1 – Introduction to Antibody Language Models

  • Introduction
  • Requirements and Imports
  • Functions
  • Using antibody language models to fill in missing residues (one residue)
    • Likelihood functions
  • Tokenising and encoding sequences
  • Encoding a dataset and exploring raw encodings
    • AbLang
    • AntiBERTy
  • Using dimensionality reduction to explore encodings and compare between different models
    • t-SNE
    • PCA
  • End of chapter exercise

Chapter 2 – Practical Examples of Uses of Antibody Language Models

  • Introduction
  • Functions
  • Modelling antibodies with language model inputs
    • IgFold
    • Compare RMSD with abYmod
  • Using encodings to classify sequences
    • Classify Lambda and Kappa light chains
    • Classify sequences by developability scores
  • Using encodings to train linear models to predict important properties
    • Train thermostability predictor

Chapter 3 - Understanding the Limitations of Antibody Langauage Models through Practical Examples

  • Introduction
  • Functions
  • Filling in multiple missing residues with AbLang
  • Generate sequence diversity with generative IgLM model
    • Generate diversity with full sequence
    • Generate diversity with prompt sequence
  • End of chapter exercises
  • End remarks

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  • Name: AdamTest24
  • Login: AdamTest24
  • Kind: organization

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