HySonLab/Directed_Evolution
Protein Design by Machine Learning guided Directed Evolution
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.
Stars
48
Forks
6
Language
Python
License
GPL-3.0
Category
Last pushed
Jan 01, 2026
Commits (30d)
0
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