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Peldom/papers_for_protein_design_using_DL

A curated collection of research papers on applying deep learning to protein design in computational biology.

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This repository aggregates academic papers focused on using deep learning methods for protein design, spanning areas like mini-protein design, binders, antibodies, and de novo protein generation. It is inspired by similar awesome-list repositories and includes contributions from the community. The resource targets researchers and practitioners working at the intersection of AI and structural biology.

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