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 and the CROWN and HiQBind training sets.
Contents
| File | Description | Size |
|------|-------------|------|
| metadata.tar.gz | Metadata directory: atom type definitions + training set metadata | 11.9 MB | # Necessary to run DESPOT
| potentials.tar.gz | Trained DESPOT models (DESPOT + DESPOT-DRUGSCORE, for both CROWN and HiQBind training sets) | 1.9 GB | # Necessary to run inference
| casf_2016.tar.gz | CASF-2016 benchmark set: docking poses + raw scores for all functions | 4.2 GB |
| crown_train.tar.gz | CROWN train set (separate .mol2 for receptor and ligand) | 12.5 GB |
| hiqbind_train.tar.gz | HiQBind train set (separate .mol2 for receptor and ligand) | 5.0 GB |
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
conda env create -f environment.yml
conda activate DESPOT
pip install -e .
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
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