--- 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 ```