HySonLab/Directed_Evolution

Protein Design by Machine Learning guided Directed Evolution

42
/ 100
Emerging

This project helps biological engineers and protein researchers efficiently design new proteins with desired characteristics. By inputting known protein sequences and their corresponding performance data, it leverages machine learning to predict the "fitness" of various mutations and generate novel protein sequences. This accelerates the traditional trial-and-error process of directed evolution, making protein engineering faster and more targeted.

Use this if you need to optimize protein properties or design new proteins with specific functions and want to significantly reduce the experimental workload of traditional directed evolution.

Not ideal if you lack existing protein sequence data with associated fitness scores or are not working with protein engineering applications.

protein-engineering directed-evolution biotechnology bioinformatics drug-discovery
No Package No Dependents
Maintenance 6 / 25
Adoption 8 / 25
Maturity 16 / 25
Community 12 / 25

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Stars

48

Forks

6

Language

Python

License

GPL-3.0

Last pushed

Jan 01, 2026

Commits (30d)

0

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