# BioinfoMachineLearning/FlowDock

<https://repo.masters-masters.com/en/repos/BioinfoMachineLearning/FlowDock>

[Home](https://repo.masters-masters.com/en) › [BioinfoMachineLearning](https://repo.masters-masters.com/en/owners/BioinfoMachineLearning) › [FlowDock](https://repo.masters-masters.com/en/repos/BioinfoMachineLearning/FlowDock)

BioinfoMachineLearning/FlowDock has 146 stars on GitHub. Its RepoMasters card: Prototype tier. A geometric flow matching model for generative protein-ligand…

| Field | Value |
| --- | --- |
| Owner | [BioinfoMachineLearning](https://repo.masters-masters.com/en/owners/BioinfoMachineLearning) |
| Stars | 146 |
| Forks | 32 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2024 |
| Topics | computational-biology, computational-chemistry, deep-learning, generative-model, machine-learning, molecular-docking, structure-prediction |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [BioinfoMachineLearning/FlowDock](https://github.com/BioinfoMachineLearning/FlowDock) |

## Repository

A geometric flow matching model for generative protein-ligand docking and affinity prediction. (ISMB 2025)

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

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