papers_for_protein_design_using_DL

Why we included this project

For anyone entering protein design with deep learning, this paper list is a practical starting point. The maintainers group a large collection of papers by design strategy, so you can follow a specific research thread, such as generative models for binders or mini-proteins, instead of wading through a chronological dump of abstracts. It's updated weekly and accepts contributions, which keeps it current and makes it useful as a quick digest for researchers who want to track new preprints. The organization is thoughtful, and the community aspect means the list stays alive rather than going stale.