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--- |
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license: mit |
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configs: |
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- config_name: dataset |
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data_files: "dataset.csv" |
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--- |
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### Description |
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This dataset contains ΔΔG value of various protein mutations (including some human designed proteins). The ΔΔG value indicates the stability of protein. |
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**Protein Format:** AA sequence |
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### Splits |
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traing: 486352 |
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valid: 60995 |
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test: 60492 |
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### Related paper |
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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). |
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https://doi.org/10.1038/s41586-023-06328-6. |
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### Label |
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Label means ΔΔG of each mutant amino acid sequence based on a deep mutation scanning experiment. |
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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. |
