DESPOT: Direction-Enhanced Scoring POTentials
Authors/Creators
Description
DESPOT: Direction-Enhanced Scoring POTentials
Overview
This repository contains the dataset accompanying the paper:
DESPOT: Direction-Enhanced Scoring POTentials
Robin Poelmans, Bence Bruncsics, Adam Arany, Wout Van Eynde, Ahmed Shemy, Yves Moreau, Arnout RD Voet
bioRxiv 2026.03.31.714140; doi: https://doi.org/10.64898/2026.03.31.714140
This dataset contains the pre-trained DESPOT models, as well as the CASF-2016 benchmark set with all results.
Contents
| File | Description | Size |
|------|-------------|------|
| `atom_type_counts.csv` | Definition file for all internal atom types of DESPOT | 14.8 KB |
| `casf_pdb_ids.txt` | All 285 targets of CASF-2016 | 1.4 KB |
| `casf_2016.tar.gz` | CASF-2016 benchmark set. Subdirectory "benchmark-results" contains raw output for all tested models. | 3.7 GB |
| `despot_counts_{dataset}.npz` | Raw interaction counts for DESPOT. 3 dataset options: {crown_train, crown_xtal, crown_leaky} | 20 MB |
| `despot_scores_{dataset}.npz` | Score matrices for DESPOT. 3 dataset options: {crown_train, crown_xtal, crown_leaky} | 800 MB |
| `despot_ds_scores_{dataset}.npz` | Score matrices for DESPOT-DS. 3 dataset options: {crown_train, crown_xtal, crown_leaky} | 800 KB |
Download and Installation
An automated download and installation pipeline is available in the accompanying GitHub repository:
https://github.com/KUL-LBMD/DESPOT
The pipeline handles downloading, integrity verification, and directory setup. Please refer to the GitHub repository for full instructions.
Quick start
git clone https://github.com/KUL-LBMD/DESPOT.git
cd DESPOT
# Follow the setup instructions in the GitHub README
License
Citation
If you make use of DESPOT in your research, please cite our paper:
DESPOT: Direction-Enhanced Scoring POTentials
Robin Poelmans, Bence Bruncsics, Adam Arany, Wout Van Eynde, Ahmed Shemy, Yves Moreau, Arnout RD Voet
bioRxiv 2026.03.31.714140; doi: https://doi.org/10.64898/2026.03.31.714140
Contact
For questions about the dataset, please open an issue on the GitHub repository or contact robin.poelmans@kuleuven.be.
Files
atom_type_counts.csv
Files
(6.4 GB)
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Additional details
Funding
- Research Foundation - Flanders
- AI-Driven Analysis and Design of Protein-Ligand Interactions for Advancing De Novo Drug Discovery 1176225N
Software
- Repository URL
- https://github.com/robin-poelmans/DESPOT
- Programming language
- Python
- Development Status
- Active