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How good are simplified models for protein structure prediction?.pdf

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How good are simplified models for protein structure prediction?.pdf
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How do small single-domain proteins fold? - 1998.pdf
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Outcome of a workshop on applications of protein models in biomedical research.pdf
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Fast search algorithms for computational protein design - 2016.pdf
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Predicting the sequence specificities of DNA-and RNA-binding proteins by deep learning - 2015.pdf
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Exploring the repeat protein universe through computational protein design - 2016.pdf
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Principles for designing proteins with cavities formed by curved β sheets - 2017.pdf
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End-to-end differentiable learning of protein structure - 2018.pdf
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ProSPr: Democratized implementation of AlphaFold protein distance prediction network - 2019.pdf
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Design of protein function leaps by directed domain interface evolution.pdf
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Protein calligraphy: a new concept begins to take shape - 2016.pdf
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Design of a single-chain polypeptide tetrahedron assembled from coiled-coil segments.pdf
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Protein secondary prediction using cascaded convolutional and recurrent neural networks - 2016.pdf
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Design of a single-chain polypeptide tetrahedron assembled from coiled-coil segments - 2013.pdf
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Protein secondary structure prediction using deep convolutional neural fields - 2016.pdf
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De novo protein design: how do we expand into the universe of possible protein structures? - 2016.pdf
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Recent progress in machine learning-based methods for protein fold recognition - 2016.pdf
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Control of repeat protein curvature by computational protein design - 2015.pdf
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Repeat proteins challenge the concept of structural domains - 2015.pdf
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Computer-aided directed evolution of enzymes - 2016.pdf
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