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Add TSV headers and configure model-specific dataset subsets
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---
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
```