Datasets:
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README.md
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| Config Name | Task Description | Modality | Split | File Types |
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|-------------|--------------------------------------------------------|----------------|--------------|-------------------------------|
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| `AFP` | Protein function annotation (GO term prediction) |
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| `PCSP` | Cleavage site prediction (enzyme-substrate pairs) | Seq + Struct | `train/test` | `.pkl` |
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| `PLI_DAVIS` | Protein–ligand binding affinity regression | Seq + Struct | `test` | `.txt`, `.json`,
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| `PROTACs` | Ternary complex prediction in targeted degradation | Seq + Struct | `test` | `.txt`, `.json`,
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---
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### 🔹 Protein Function Annotation Prediction (`AFP`)
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- **Description**: Predict GO (Gene Ontology) terms for proteins.
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- **Input**: Protein sequence
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- **Output**: Multi-label vector representing associated GO terms
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- **Files**:
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- `AFP/nrPDB-GO_test.csv`
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- **Format**:
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- **Input Format**:
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- `
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- `
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```json
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{
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"name": "2P1Z-A",
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"seq": "SKKAELAELVKELAVYVDLRRATLHARASRLIGELLRELTADWDYVA...",
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...
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```
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- **Label Format**:
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One or more GO term IDs (e.g., `GO:0007165`) in a multi-hot encoded label vector
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- **Metric**: Fmax, AUPR
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}
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```
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## Contact
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Please submit GitHub issues or contact Shuo Yan (
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| Config Name | Task Description | Modality | Split | File Types |
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|-------------|--------------------------------------------------------|----------------|--------------|-------------------------------|
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| `AFP` | Protein function annotation (GO term prediction) | Seq + Struct | `test` | `.csv`,`json` |
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| `PCSP` | Cleavage site prediction (enzyme-substrate pairs) | Seq + Struct | `train/test` | `.pkl` |
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| `PLI_DAVIS` | Protein–ligand binding affinity regression | Seq + Struct | `test` | `.txt`, `.json`, `.sdf` |
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| `PROTACs` | Ternary complex prediction in targeted degradation | Seq + Struct | `test` | `.txt`, `.json`, '.sdf' |
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---
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### 🔹 Protein Function Annotation Prediction (`AFP`)
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- **Description**: Predict GO (Gene Ontology) terms for proteins.
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- **Input**: Protein sequence and structure
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- **Output**: Multi-label vector representing associated GO terms
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- **Files**:
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- `AFP/processed_data.json`
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- `AFP/data_splits.json`
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- `AFP/nrPDB-GO_annot.tsv`
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- `AFP/nrPDB-GO_test.csv`
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- **Format**:
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- **Input Format**:
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```AFP/processed_data.json```: json file with key value pair:
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- `name`: unique ID
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- `seq`: amino acid sequence
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- `coords`: protein structure information
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- `molecular_function`,`biological_process`,`cellular_component`: GO term labels
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```json
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- [
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{
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"name": "2P1Z-A",
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"seq": "SKKAELAELVKELAVYVDLRRATLHARASRLIGELLRELTADWDYVA...",
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...
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]
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```
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```AFP/data_splits.json```: The division of the train and test datasets
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- **annotation file Format**:
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```AFP/nrPDB-GO_annot.tsv```:tsv file with multi-column contains the detailed GO term information for all proteins.
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```
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### PDB-chain GO-terms (molecular_function) GO-terms (biological_process) GO-terms (cellular_component)
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1A6X-A GO:0016874 GO:0016053, ... , GO:0032787 GO:1902494
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```
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```AFP/nrPDB-GO_test.csv```: csv file with multi-column contains the sequence similarity between the test proteins and the training set.
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```
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PDB-chain,<30%,<40%,<50%,<70%,<95%
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3ONG-B , 0 , 1 , 1 , 1 , 1
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1AD3-A , 0 , 0 , 1 , 1 , 1
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1FI8-A , 0 , 0 , 0 , 1 , 1
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2FWM-X , 0 , 1 , 1 , 1 , 1
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```
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- **Label Format**:
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One or more GO term IDs (e.g., `GO:0007165`) in a multi-hot encoded label vector, The detailed GO term label information for each protein can be found in the **AFP/nrPDB-GO\_annot.tsv** file.
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- **Metric**: Fmax, AUPR
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}
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```
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## Contact
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Please submit GitHub issues or contact Shuo Yan ([syan225@connect.hkust-gz.edu.cn](mailto:syan225@connect.hkust-gz.edu.cn)
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) for any questions related to the source code.
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