Datasets:
Modalities:
Text
Formats:
csv
Size:
1K - 10K
Tags:
protein-protein-interaction
bioinformatics
protein-sequences
interface-prediction
partner-aware
License:
| license: gpl-3.0 | |
| pretty_name: SPPIDER-seq Datasets | |
| tags: | |
| - protein-protein-interaction | |
| - bioinformatics | |
| - protein-sequences | |
| - interface-prediction | |
| - partner-aware | |
| configs: | |
| - config_name: peptide-centric | |
| data_files: | |
| - split: train | |
| path: pep_train_ids.tsv | |
| - split: validation | |
| path: pep_val_ids.tsv | |
| - split: blind | |
| path: pep_blind_ids.tsv | |
| - config_name: receptor-centric | |
| data_files: | |
| - split: train | |
| path: rec_train_ids.tsv | |
| - split: validation | |
| path: rec_val_ids.tsv | |
| - split: blind | |
| path: rec_blind_ids.tsv | |
| # SPPIDER-seq Datasets | |
| Datasets used for training, validation, blind testing, and benchmarking of the | |
| SPPIDER-seq partner-aware protein–protein interaction site prediction models. | |
| For the software, documentation, and usage instructions, see the | |
| [SPPIDER-seq GitHub repository](https://github.com/aporollo-lab/SPPIDER-seq). | |
| For the current pretrained models, see the | |
| [SPPIDER-seq model repository](https://huggingface.co/aporollo-lab/SPPIDER-seq). | |
| Please cite the SPPIDER-seq publication when using these datasets: | |
| > Porollo A, Jadhav O, Alvarez A, Chen J. **SPPIDER-seq: sequence-based partner-aware predictor of protein–protein interaction sites.** *Bioinformatics*. 2026;42(7):btag388. https://doi.org/10.1093/bioinformatics/btag388 | |
| --- | |
| ## 1. Dataset prefixes and model usage | |
| Files with different prefixes correspond to different model variants: | |
| * Files starting with the prefix **`rec_`** were used for training, validation, and benchmarking of the **receptor-centric model**. | |
| * Files starting with the prefix **`pep_`** were used for training, validation, and benchmarking of the **peptide-centric model**. | |
| --- | |
| ## 2. Pair definition files (`.tsv`) | |
| Files with the `.tsv` extension define protein–peptide pairs used for different stages of model development: | |
| * `*_train.tsv` — training dataset | |
| * `*_val.tsv` — validation dataset used during training | |
| * `*_blind.tsv` — blind benchmark dataset not seen during training or validation | |
| Each `.tsv` file contains exactly two tab-separated columns: | |
| 1. `receptor_id` — identifier of the receptor sequence entry | |
| 2. `peptide_id` — identifier of the peptide or ligand sequence entry | |
| Each row defines one receptor–peptide interaction pair. The corresponding full-length sequences and residue-level PPI annotations are provided in the associated ground-truth annotation files. | |
| --- | |
| ## 3. Sequence naming convention | |
| Protein sequences in the `.tsv` files follow the naming convention: | |
| ``` | |
| PDBcode_ChainID|UniProtID|ChainPair | |
| ``` | |
| where: | |
| * **PDBcode** | |
| Indicates the PDB entry from which the interacting protein pair was derived. | |
| * **ChainID** | |
| Specifies the chain identifier corresponding to the sequence listed. | |
| * **UniProtID** | |
| Identifies the UniProt accession from which the full-length reference sequence was obtained. | |
| * **ChainPair** | |
| Describes the interaction context within the PDB complex. | |
| The first chain ID always corresponds to the **receptor** chain, and the second chain ID corresponds to the **ligand (peptide)** chain. | |
| If multiple chain pairs within the same PDB entry are identical in sequence and interaction context, they are listed as multiple `ChainPair` entries separated by the `=` character. | |
| ### Example protein–protein pairs | |
| ``` | |
| 1ca9_A|Q12933|AG=EG 1ca9_G|P20333|AG=EG | |
| 1cg9_A|P01889|AC 1cg9_C|P03204|AC | |
| 1d8d_A|Q04631|AP 1d8d_P|P01116|AP | |
| 1d8d_B|Q02293|BP 1d8d_P|P01116|BP | |
| 1ddv_A|Q9Z214|AB 1ddv_B|P31424|AB | |
| 1ds5_A|P28523|AE=BE 1ds5_E|P67870|AE=BE | |
| ``` | |
| --- | |
| ## 4. Ground-truth PPI site annotation files (`.txt`) | |
| Files with the `.txt` extension contain residue-level ground-truth PPI site annotations derived from PDB structures. | |
| Each protein entry consists of **four consecutive lines**: | |
| 1. **Header line** | |
| Starts with the `>` character and contains the protein sequence name. | |
| 2. **Full-length sequence** | |
| The complete protein sequence derived from the corresponding UniProt ID. | |
| 3. **PDB-derived sequence** | |
| The protein sequence extracted from the PDB entry and specified chain, aligned to the full-length UniProt reference sequence. | |
| Missing or unresolved residues are represented by `-` characters. | |
| 4. **Ground-truth PPI annotation** | |
| A position-wise binary annotation indicating the PPI site state for each residue in the given interaction context (chain pair). | |
| Interacting residues are marked with `1`, non-interacting residues with `0`. | |
| ### Example PPI site annotation entries | |
| ``` | |
| >1be3_K|P07552|JK | |
| MLTRFLGPRYRQLARNWVPTASLWGAVGAVGLVWATDWRLILDWVPYINGKFKKDD | |
| --------------RNWVPTAQLWGAVGAVGLVSAT-------------------- | |
| 00000000000000010011001101100110010000000000000000000000 | |
| >1be3_J|P00130|JK | |
| MVAPTLTARLYSLLFRRTSTFALTIVVGALFFERAFDQGADAIYEHINEGKLWKHIKHKYENKE | |
| -VAPTLTARLYSLLFRRTSTFALTIVVGALFFERAFDQGADAIYEHINEGKLWKHIKHKYENK- | |
| 0000000000000000111101100110010000000000000000000000000000000000 | |
| >1vf5_G|P83797|BG | |
| MVEPLLDGLVLGLVFATLGGLFYAAYQQYKRPNELGG | |
| --------LVLGLVFATLGGLFYAAYQQYKR------ | |
| 0000000000000110010011010011001000000 | |
| >1vf5_B|P83792|BG | |
| MATLKKPDLSDPKLRAKLAKGMGHNYYGEPAWPNDLLYVFPVVIMGTFACIVALSVLDPAMVGEPADPFATPLEILPEWYLYPVFQILRSVPNKLLGVLLMASVPLGLILVPFIENVNKFQNPFRRPVATTIFLFGTLVTIWLGIGATFPLDKTLTLGLF | |
| -----------------LAKGMGHNYYGEPAWPNDLLYVFPVVIMGTFACIVALSVLDPAMVGEPANPFATPLEILPEWYLYPVFQILRSLPNKLLGVLLMASVPLGLILVPFIENVNKFQNPFRRPVATTIFLFGTLVTIWLGIGAALPLDKTL----- | |
| 0000000000000000000000000000000100000010011001001100110010000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000 | |
| ``` | |