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Published June 24, 2026 | Version 2026-06

DESPOT: Direction-Enhanced Scoring POTentials

  • 1. ROR icon KU Leuven
  • 2. EDMO icon Katholieke Universiteit Leuven

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

This dataset is released under the Creative Commons Attribution 4.0 International (CC BY 4.0) 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

Files (23.7 GB)

Name Size
md5:b433ef3da03ae94731d9bd0b67df8138
4.2 GB Download
md5:c11adb95e319d8b4f1386c8f5e57ef49
12.5 GB Download
md5:877719aa4d58a158e497f202767b8bd1
5.0 GB Download
md5:376915d65ffba5e6fc203ce5d22ed7ad
11.6 MB Download
md5:751b3634ddebbacd6c4a324ace7ebb3a
1.9 GB Download

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