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README.md
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@@ -27,6 +27,8 @@ This repository contains data on the change in protein stability with a single m
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- **Primary Source**: Tsuboyama, K., Dauparas, J., Chen, J. et al. Mega-scale experimental analysis of protein folding stability in biology and design. Nature 620, 434–444 (2023). [Link to the paper](https://www.nature.com/articles/s41586-023-06328-6)
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- **Dataset Link**: [Zenodo Record](https://zenodo.org/record/7992926)
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## Sample Protein Stability Data
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| Base Amino Acid Sequence | Mutation | ddG_ML | Classification |
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- **Base Protein Sequence** (`aa_seq`): A (sometimes shortened) amino acid sequence.
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- **Mutation**: Represented as a combination of amino acid and its position (e.g., F10N indicates changing the 10th amino acid (F) in a sequence for N).
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- **delta deltaG** (`ddG_ML`): Derived from a model that makes use of stability measurements measured by two proteases, trypsin and chymotrypsin.
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### Understanding ΔG (delta G)
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- **Positive ΔΔG**: Suggests the mutation decreases protein stability.
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- **Negative ΔΔG**: Suggests the mutation enhances protein stability.
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### Dataset preparation:
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For a quick overview, the relevant dataset structure can be found in `dataset_table.jpeg`.
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### Data Cleanup and Validation:
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1. Filtering: The dataset has been curated to only include examples of single mutations.
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- **Primary Source**: Tsuboyama, K., Dauparas, J., Chen, J. et al. Mega-scale experimental analysis of protein folding stability in biology and design. Nature 620, 434–444 (2023). [Link to the paper](https://www.nature.com/articles/s41586-023-06328-6)
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- **Dataset Link**: [Zenodo Record](https://zenodo.org/record/7992926)
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As to where the dataset comes from in this broader work, the relevant dataset (#3) is shown in `dataset_table.jpeg` of this repository's files.
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## Sample Protein Stability Data
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| Base Amino Acid Sequence | Mutation | ddG_ML | Classification |
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- **Base Protein Sequence** (`aa_seq`): A (sometimes shortened) amino acid sequence.
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- **Mutation**: Represented as a combination of amino acid and its position (e.g., F10N indicates changing the 10th amino acid (F) in a sequence for N).
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- **delta deltaG** (`ddG_ML`): Derived from a model that makes use of stability measurements measured by two proteases, trypsin and chymotrypsin.
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- **Classification**: Classification is done purely on the basis of ddG. The standard deviation of ddG in the dataset is measured and:
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-- Rows above 0.5 standard deviations are classified as 'destabilising'
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-- Rows below -0.5 standard deviations are classified as 'stabilising'
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-- Rows between -0.5 and 0.5 standard deviations are classified as 'neutral'
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### Understanding ΔG (delta G)
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- **Positive ΔΔG**: Suggests the mutation decreases protein stability.
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- **Negative ΔΔG**: Suggests the mutation enhances protein stability.
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### Data Cleanup and Validation:
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1. Filtering: The dataset has been curated to only include examples of single mutations.
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