Published August 28, 2026 | Version v1

OpenBind Enteroviral 2A Protease Benchmark Data

  • 1. ROR icon Columbia University
  • 2. ROR icon Columbia University Irving Medical Center
  • 3. ROR icon University of Oxford

Description

This record contains the prepared datasets and computational benchmarking outputs associated with the OpenBind enteroviral 2A protease structure–affinity dataset. The accompanying preprint describing the dataset, benchmark construction, and results is available at https://doi.org/10.64898/2026.08.27.747600.

The underlying experimental dataset comprises crystallographic protein–ligand complexes and associated binding-affinity measurements for EV-A71 2A protease, generated using Coxsackievirus A16 (CVA16) 2A protease as a closely related experimental surrogate. The original OpenBind data release, including the experimentally determined structures and affinity measurements, is available at Zenodo record 20026660 (DOI: 10.5281/zenodo.20026660).

This record focuses on the processed and computational data used for structure-based modelling and benchmarking. It includes:

  • Prepared dataset: standardized and model-ready protein–ligand structures derived from the experimental OpenBind release.
  • Docking data: docking inputs and/or generated docking poses used to evaluate structure-based prediction workflows.
  • Cofolding data: inputs and predictions from protein–ligand cofolding workflows used to assess the ability of current structure-prediction methods to recover experimentally observed binding modes.

Together, these files provide the computational counterpart to the experimental OpenBind release and are intended to support benchmarking, method development, error analysis, and comparison of docking and cofolding approaches on a dense, experimentally characterized protein–ligand dataset.

Files

A71EV2A_data.zip

Files (46.9 GB)

Name Size
md5:8e0f0c337b4e60ac997a4d90fc856db0
61.8 MB Preview Download
md5:147f2edd1ecbc8e45b3d93bf3f574055
1.3 GB Preview Download
md5:a2f5a38b94cdef5d205e1eef724683ad
145.1 MB Preview Download
md5:0758c49ddf42da1cce9543680572f658
3.3 GB Preview Download
md5:899a97ef78bfe54dc253ead960b281cf
2.9 GB Preview Download
md5:90ebea76c6f252ebf5b37cc16f4d4bd2
7.3 GB Preview Download
md5:e24406e4041da338e5d731e7789d5a31
8.4 GB Preview Download
md5:3f5031d7ab30b85eb82752bb12b9959a
8.3 GB Preview Download
md5:e06488a0df8daeca9aa794f95dcb7c5b
7.4 GB Preview Download
md5:9ed8c0034a0ba7b6b9d439a9c9a79905
3.0 GB Preview Download
md5:edbb4101591698fc316f610b27362da5
4.8 GB Preview Download

Additional details

Related works

Is derived from
Dataset: 10.5281/zenodo.20026660 (DOI)
Is supplement to
Preprint: 10.64898/2026.08.27.747600 (DOI)

Funding

Department for Science, Innovation and Technology
G2-SCH-2025-06-16537