SaProtHub/Dataset-Meta-scale-protein-stability
Description This dataset contains ΔΔG value of various protein mutations (including some human designed proteins). The ΔΔG value indicates the stability of protein. Protein Format: AA sequence Splits traing: 486352 valid: 60995 test: 60492 Related paper 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).… See the full description on the dataset page: https://huggingface.co/datasets/SaProtHub/Dataset-Meta-scale-protein-stability.
Description
This dataset contains ΔΔG value of various protein mutations (including some human designed proteins). The ΔΔG value indicates the stability of protein.
Protein Format: AA sequence
Splits
traing: 486352
valid: 60995
test: 60492
Related paper
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). https://doi.org/10.1038/s41586-023-06328-6.
Label
Label means ΔΔG of each mutant amino acid sequence based on a deep mutation scanning experiment.
Understanding ΔG (delta G)
ΔG is the Gibbs free energy change of a process, dictating whether a process is thermodynamically favorable:
Negative ΔG: Indicates the process is energetically favorable. For protein unfolding, it implies the protein is more stable in its unfolded form.
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.
The delta delta G (ΔΔG) represents the deltaG of the mutation compared to the base protein:
Positive ΔΔG: Suggests the mutation enhances protein stability.
Negative ΔΔG: Suggests the mutation decreases protein stability.
