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A curated, actively-updated list of AI/deep-learning papers, libraries, etc for digital biology: protein folding, binder & antibody design, molecular generation, genomics & single-cell foundation models, datasets, and tools.
Deep Learning-based Protein structure prediction using AlphaFold (ColabFold) with visualization and pLDDT confidence analysis for understanding protein folding.