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Initial commit, writes a chapter on optimizing energy in single mutants
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.gitignore

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.DS_Store
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# Example's working directory
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examples/understanding_foldx/tmp
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docs/protein-optimization/understanding_foldx/01-single-mutation-using-foldx/tmp/*
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!docs/protein-optimization/understanding_foldx/01-single-mutation-using-foldx/tmp/101m_Repair.pdb
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!docs/protein-optimization/understanding_foldx/01-single-mutation-using-foldx/tmp/101m.pdb
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!docs/protein-optimization/understanding_foldx/01-single-mutation-using-foldx/tmp/Raw_101m_Repair.fxout
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!docs/protein-optimization/understanding_foldx/01-single-mutation-using-foldx/tmp/individual_list.txt
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# Build directory
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docs/protein-optimization/_build
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# Book settings
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# Learn more at https://jupyterbook.org/customize/config.html
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title: Protein optimization
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author: Miguel González-Duque
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logo: logo_protein_opt.png
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# Force re-execution of notebooks on each build.
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# See https://jupyterbook.org/content/execute.html
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execute:
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execute_notebooks: force
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# Define the name of the latex output file for PDF builds
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latex:
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latex_documents:
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targetname: book.tex
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# Add a bibtex file so that we can create citations
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bibtex_bibfiles:
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- references.bib
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# Information about where the book exists on the web
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# repository:
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# url: https://github.com/executablebooks/jupyter-book # Online location of your book
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# path_to_book: docs # Optional path to your book, relative to the repository root
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# branch: master # Which branch of the repository should be used when creating links (optional)
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# # Add GitHub buttons to your book
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# # See https://jupyterbook.org/customize/config.html#add-a-link-to-your-repository
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# html:
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# use_issues_button: true
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# use_repository_button: true

docs/protein-optimization/_toc.yml

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# Table of contents
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# Learn more at https://jupyterbook.org/customize/toc.html
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format: jb-book
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root: index.md
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parts:
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- caption: Understanding FoldX
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numbered: true
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chapters:
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- file: understanding_foldx/00-installing-foldx.md
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- file: understanding_foldx/01-single-mutation-using-foldx/index.ipynb

docs/protein-optimization/index.md

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# Tutorials on protein optimization
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This book contains documentation on how to measure protein's properties (e.g. stability, solubility...) using tools like FoldX. [Work in Progress]
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```{tableofcontents}
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```
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---
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---
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@article{stanton2022accelerating,
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title={Accelerating Bayesian Optimization for Biological Sequence Design with Denoising Autoencoders},
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author={Stanton, Samuel and Maddox, Wesley and Gruver, Nate and Maffettone, Phillip and Delaney, Emily and Greenside, Peyton and Wilson, Andrew Gordon},
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journal={arXiv preprint arXiv:2203.12742},
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year={2022}
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}
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jupyter-book
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matplotlib
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numpy
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biopython
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pandas
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# Installing FoldX
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[TODO: write]

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