# OptiMaL-PSE-Lab/DeepDock

<https://repo.masters-masters.com/en/repos/OptiMaL-PSE-Lab/DeepDock>

[Home](https://repo.masters-masters.com/en) › [OptiMaL-PSE-Lab](https://repo.masters-masters.com/en/owners/OptiMaL-PSE-Lab) › [DeepDock](https://repo.masters-masters.com/en/repos/OptiMaL-PSE-Lab/DeepDock)

OptiMaL-PSE-Lab/DeepDock has 194 stars on GitHub. Its RepoMasters card: Prototype tier. Code related to : O. Mendez-Lucio, M. Ahmad, E.A. del Rio-Chanona…

| Field | Value |
| --- | --- |
| Owner | [OptiMaL-PSE-Lab](https://repo.masters-masters.com/en/owners/OptiMaL-PSE-Lab) |
| Stars | 194 |
| Forks | 30 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | MIT |
| Created | 2021 |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [OptiMaL-PSE-Lab/DeepDock](https://github.com/OptiMaL-PSE-Lab/DeepDock) |

## Repository

Code related to : O. Mendez-Lucio, M. Ahmad, E.A. del Rio-Chanona, J.K. Wegner, A Geometric Deep Learning Approach to Predict Binding Conformations of Bioactive Molecules

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.