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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 |
@@ -44,6 +46,10 @@ The dataset focuses on the differential deltaG (mutation minus base) of various
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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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@@ -57,10 +63,6 @@ The **delta delta G** (ΔΔG) represents the deltaG of the mutation compared to
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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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-
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- For a quick overview, the relevant dataset structure can be found in `dataset_table.jpeg`.
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-
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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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+
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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.