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README.md
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@@ -35,38 +35,37 @@ As to where the dataset comes from in this broader work, the relevant dataset (#
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## Sample Protein Stability Data
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| Base Protein Sequence
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## Dataset Structure
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The dataset focuses on the differential deltaG (mutation minus base) of various protein mutations.
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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.
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-- Rows
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-- Rows
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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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ΔG is the Gibbs free energy change of a process, dictating whether a process is thermodynamically favorable:
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- **Negative ΔG**: Indicates the process is energetically favorable. For protein
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- **Positive ΔG**: Indicates the process is not energetically favorable. In protein
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The **delta delta G** (ΔΔG) represents the deltaG of the mutation compared to the base protein:
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- **Positive ΔΔG**: Suggests the mutation
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- **Negative ΔΔG**: Suggests the mutation
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### Data Cleanup and Validation:
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## Sample Protein Stability Data
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| Base Protein Sequence | Mutation | ΔΔG_ML | Classification |
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|-------------------------------------------------------------|----------|--------------------|-----------------|
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| FDIYVVTADYLPLGAEQDAITLREGQYVEVLDAAHPLRWLVRTKPTKSSPSRQGWVSPAYLDRRL | R63W | -0.2010871345320799 | neutral |
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| FDIYVVTADYLPLGAEQDAITLREGQYVEVLDAAHPLRWLVRTKPTKSSPSRQGWVSPAYLDRRL | R63Y | 0.0194756159891467 | neutral |
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| FDIYVVTADYLPLGAEQDAITLREGQYVEVLDAAHPLRWLVRTKPTKSSPSRQGWVSPAYLDRRL | R63F | 0.7231614929744659 | stabilising |
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| FDIYVVTADYLPLGAEQDAITLREGQYVEVLDAAHPLRWLVRTKPTKSSPSRQGWVSPAYLDRRL | R63P | -0.3668887752897785 | neutral |
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| FDIYVVTADYLPLGAEQDAITLREGQYVEVLDAAHPLRWLVRTKPTKSSPSRQGWVSPAYLDRRL | R63C | -0.5317304030261774 | destabilising |
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## Dataset Structure
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The dataset focuses on the differential deltaG of *unfolding* (mutation minus base) of various protein mutations.
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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 (free energy of unfolding) measured by two proteases, trypsin and chymotrypsin.
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- **Classification**: Classification is done purely on the basis of ddG.
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-- Rows below -0.5 standard deviations are classified as 'destabilising'
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-- Rows above +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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ΔG is the Gibbs free energy change of a process, dictating whether a process is thermodynamically favorable:
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- **Negative ΔG**: Indicates the process is energetically favorable. For protein unfolding, it implies the protein is more stable in its unfolded form.
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- **Positive ΔG**: Indicates the process is not energetically favorable. In protein unfolding, it means the protein requires energy to maintain its unfolded state, i.e. it is stable in folded form.
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The **delta delta G** (ΔΔG) represents the deltaG of the mutation compared to the base protein:
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- **Positive ΔΔG**: Suggests the mutation enhances protein stability.
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- **Negative ΔΔG**: Suggests the mutation decreases protein stability.
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### Data Cleanup and Validation:
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