# SysBioChalmers/DLKcat

<https://repo.masters-masters.com/en/repos/SysBioChalmers/DLKcat>

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

SysBioChalmers/DLKcat has 207 stars on GitHub. Its RepoMasters card: Prototype tier. Deep learning and Bayesian approach applied to enzyme turnover number for…

| Field | Value |
| --- | --- |
| Owner | [SysBioChalmers](https://repo.masters-masters.com/en/owners/SysBioChalmers) |
| Stars | 207 |
| Forks | 68 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | None |
| Created | 2020 |
| Topics | deep-learning, bayesian, enzyme-turnover-number, enzyme-constraints, kinetics, kcat |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [SysBioChalmers/DLKcat](https://github.com/SysBioChalmers/DLKcat) |

## Repository

Deep learning and Bayesian approach applied to enzyme turnover number for the improvement of enzyme-constrained genome-scale metabolic models (ecGEMs) reconstruction

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.