# CongLabCode/RoseTTAFold2-PPI

<https://repo.masters-masters.com/en/repos/CongLabCode/RoseTTAFold2-PPI>

[Home](https://repo.masters-masters.com/en) › [CongLabCode](https://repo.masters-masters.com/en/owners/CongLabCode) › [RoseTTAFold2-PPI](https://repo.masters-masters.com/en/repos/CongLabCode/RoseTTAFold2-PPI)

CongLabCode/RoseTTAFold2-PPI has 136 stars on GitHub. Its RepoMasters card: Prototype tier. Fast deep learning methods for large-scale protein-protein…

| Field | Value |
| --- | --- |
| Owner | [CongLabCode](https://repo.masters-masters.com/en/owners/CongLabCode) |
| Stars | 136 |
| Forks | 23 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | GPL-3.0 |
| Created | 2024 |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [CongLabCode/RoseTTAFold2-PPI](https://github.com/CongLabCode/RoseTTAFold2-PPI) |

## Repository

Fast deep learning methods for large-scale protein-protein interaction screening

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.