RonanMcGovern commited on
Commit
cb69e76
1 Parent(s): 52c39ac

Upload README.md with huggingface_hub

Browse files
Files changed (1) hide show
  1. README.md +16 -17
README.md CHANGED
@@ -35,38 +35,37 @@ As to where the dataset comes from in this broader work, the relevant dataset (#
35
 
36
  ## Sample Protein Stability Data
37
 
38
- | Base Protein Sequence | Mutation | ΔΔG_ML | Classification |
39
- |------------------------------------------------------------|----------|--------------------|----------------|
40
- | DEIHIHFNGVTIEFRGLTEEAKKALEEAIKRGASEEELKELARRLIK | base | -0.0675543480388345| neutral |
41
- | DEIHIHFNGVTIEFRGLTEEAKKALEEAIKRGASEEELKELARRLIK | D1Q | -0.0162349479755414| neutral |
42
- | DEIHIHFNGVTIEFRGLTEEAKKALEEAIKRGASEEELKELARRLIK | D1E | -0.1402534094665108| neutral |
43
- | DEIHIHFNGVTIEFRGLTEEAKKALEEAIKRGASEEELKELARRLIK | I3K | -0.6219710162367509| stabilising |
44
- | DEIHIHFNGVTIEFRGLTEEAKKALEEAIKRGASEEELKELARRLIK | I3W | 0.6204920350860421| destabilising |
45
-
46
 
47
  ## Dataset Structure
48
 
49
- The dataset focuses on the differential deltaG (mutation minus base) of various protein mutations.
50
 
51
  - **Base Protein Sequence** (`aa_seq`): A (sometimes shortened) amino acid sequence.
52
  - **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).
53
- - **delta deltaG** (`ddG_ML`): Derived from a model that makes use of stability measurements measured by two proteases, trypsin and chymotrypsin.
54
- - **Classification**: Classification is done purely on the basis of ddG. The standard deviation of ddG in the dataset is measured and:
55
- -- Rows above 0.5 standard deviations are classified as 'destabilising'
56
- -- Rows below -0.5 standard deviations are classified as 'stabilising'
57
  -- Rows between -0.5 and 0.5 standard deviations are classified as 'neutral'
58
 
59
  ### Understanding ΔG (delta G)
60
 
61
  ΔG is the Gibbs free energy change of a process, dictating whether a process is thermodynamically favorable:
62
 
63
- - **Negative ΔG**: Indicates the process is energetically favorable. For protein folding, it implies the protein is stable in its folded form.
64
- - **Positive ΔG**: Indicates the process is not energetically favorable. In protein folding, it means the protein requires energy to maintain its folded state.
65
 
66
  The **delta delta G** (ΔΔG) represents the deltaG of the mutation compared to the base protein:
67
 
68
- - **Positive ΔΔG**: Suggests the mutation decreases protein stability.
69
- - **Negative ΔΔG**: Suggests the mutation enhances protein stability.
70
 
71
  ### Data Cleanup and Validation:
72
 
 
35
 
36
  ## Sample Protein Stability Data
37
 
38
+ | Base Protein Sequence | Mutation | ΔΔG_ML | Classification |
39
+ |-------------------------------------------------------------|----------|--------------------|-----------------|
40
+ | FDIYVVTADYLPLGAEQDAITLREGQYVEVLDAAHPLRWLVRTKPTKSSPSRQGWVSPAYLDRRL | R63W | -0.2010871345320799 | neutral |
41
+ | FDIYVVTADYLPLGAEQDAITLREGQYVEVLDAAHPLRWLVRTKPTKSSPSRQGWVSPAYLDRRL | R63Y | 0.0194756159891467 | neutral |
42
+ | FDIYVVTADYLPLGAEQDAITLREGQYVEVLDAAHPLRWLVRTKPTKSSPSRQGWVSPAYLDRRL | R63F | 0.7231614929744659 | stabilising |
43
+ | FDIYVVTADYLPLGAEQDAITLREGQYVEVLDAAHPLRWLVRTKPTKSSPSRQGWVSPAYLDRRL | R63P | -0.3668887752897785 | neutral |
44
+ | FDIYVVTADYLPLGAEQDAITLREGQYVEVLDAAHPLRWLVRTKPTKSSPSRQGWVSPAYLDRRL | R63C | -0.5317304030261774 | destabilising |
 
45
 
46
  ## Dataset Structure
47
 
48
+ The dataset focuses on the differential deltaG of *unfolding* (mutation minus base) of various protein mutations.
49
 
50
  - **Base Protein Sequence** (`aa_seq`): A (sometimes shortened) amino acid sequence.
51
  - **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).
52
+ - **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.
53
+ - **Classification**: Classification is done purely on the basis of ddG.
54
+ -- Rows below -0.5 standard deviations are classified as 'destabilising'
55
+ -- Rows above +0.5 standard deviations are classified as 'stabilising'
56
  -- Rows between -0.5 and 0.5 standard deviations are classified as 'neutral'
57
 
58
  ### Understanding ΔG (delta G)
59
 
60
  ΔG is the Gibbs free energy change of a process, dictating whether a process is thermodynamically favorable:
61
 
62
+ - **Negative ΔG**: Indicates the process is energetically favorable. For protein unfolding, it implies the protein is more stable in its unfolded form.
63
+ - **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.
64
 
65
  The **delta delta G** (ΔΔG) represents the deltaG of the mutation compared to the base protein:
66
 
67
+ - **Positive ΔΔG**: Suggests the mutation enhances protein stability.
68
+ - **Negative ΔΔG**: Suggests the mutation decreases protein stability.
69
 
70
  ### Data Cleanup and Validation:
71