yangkky/Machine-learning-for-proteins
A collaborative, categorized list of machine learning papers applied to protein engineering and related biological problems.
Not currently ranked — collecting fresh signals.
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This repository provides a public, collaboratively maintained bibliography of machine learning papers for protein applications. Papers are organized into categories spanning representation learning, generative models, directed evolution, structure prediction, and stability prediction. The list is maintained in reverse chronological order and accepts contributions via pull requests.
Frequently asked
- What is yangkky/Machine-learning-for-proteins?
- A collaborative, categorized list of machine learning papers applied to protein engineering and related biological problems.
- Is Machine-learning-for-proteins open source?
- Yes — yangkky/Machine-learning-for-proteins is open source, released under the GPL-3.0 license.
- How popular is Machine-learning-for-proteins?
- yangkky/Machine-learning-for-proteins has 1.7k stars on GitHub.
- Where can I find Machine-learning-for-proteins?
- yangkky/Machine-learning-for-proteins is on GitHub at https://github.com/yangkky/Machine-learning-for-proteins.