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---
license: cc-by-4.0
configs:
- config_name: dataset
data_files: dataset.csv
---
# CAPE Dataset: RhlA Enzyme Mutations（https://github.com/KRATSZ/CAPE-2023/tree/main）
## Dataset Introduction and Usage 😋
RhlA (Uniprot ID: **Q51559**, PDB ID: **8IK2**) is a key enzyme involved in synthesizing the hydrophobic component of rhamnolipids. The enzyme determines the length and unsaturation of the fatty acid chains, which ultimately influences the physicochemical properties and bioactivity of rhamnolipids.
**Protein Format:** AA sequence
### Why Modify RhlA?
Modifying **RhlA** allows better control over the structure of the fatty acid chains, leading to an improved yield of rhamnolipids and enhanced potential for industrial and pharmaceutical applications.
## Dataset Description 📑
### Training Dataset: `Saprot_CAPE_dataset_train.csv`
- **File Format**: CSV
- **Number of Sequences**: 1,593
- **Columns**:
- **protein**: Represents the combination of mutations at 6 critical amino acid positions (positions 74, 101, 143, 148, 173, and 176).
- **label**: The enzyme functional evaluation metric, representing the overall activity yield.
### Testing Dataset: `Saprot_CAPE_dataset_test.csv`
- **Number of Sequences**: 925
- **Description**: Contains sequence information only. You need to predict the activity of these sequences for model evaluation. Submit the predictions to Kaggle to receive performance feedback.
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