AMP Project Data
Description
# AMP Dataset Documentation
This repository contains several datasets used for conducting ProteoGPT, AMPSorter, AMPGenix and BioToxiPept and datasets conducted with prediction results. Below is a description of each dataset included in this repository.
## Datasets
### 1. `uniprot-compressed_true_download_true_format_fasta_includeIsoform_tr-2022.10.13-02.51.31.70.fasta`
- **Description**: 609,216 non-redundant canonical and isoform protein sequences.
### 2. `protein_seqs_1000.json`
- **Description**: Contains the training data for ProteoGPT.
### 3. `amp_unique_16062.json`
- **Description**: Contains the training data for AMPGenix.
### 4. `AMPSorter&BioToxiPept dataset.xlsx`
- **Description**: Contains the fine-tuning data, including:
- **AMP_data split**: Data used for training, validating and evaluating AMPSorter.
- **AMP_test Set**: Data used for test AMPSorter.
- **AMP_benchmarking Set**: A set of peptides used for benchmarking the AMP models.
- **AMP_external Validation Dataset**: A separate dataset for external model validation for AMPSorter.
- **Toxin_data split**: Data used for training, validating and evaluating BioToxiPept.
- **Toxin_test set**: A set of peptides used for testing the toxin models.
### 5. `NRSPDs`
- **Description**: A large dataset that includes:
- **410,192,277 non-redundant short peptides**.
- **A candidate pool of 82,694,928 peptides**.
- **Logits** with results predicted by AMPsorter and BioToxiPept.
### 6. `GNRSPDs`
- **Description**: Contains:
- **7,798 generated sequences**.
- **A candidate pool of 4,736 peptides**.
- **Logits**with results predicted by AMPsorter and BioToxiPept.
### 7. `196 tested peptides.xlsx`
- **Description**: A set of 196 selected and experimentally tested peptides, with experimentally measured values.
### 8. `20 pilot tested peptides.xlsx`
- **Description**: 20 selected peptides with prediction results and experimentally values measured in pilot test.
### 9. `Sequences generated by different models.xlsx`
- **Description**: Sequences generated by different models with prediction results.
Files
amp_unique_16062.json
Files
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