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Recent progress in machine learning-based methods for protein fold recognition - 2016.pdf

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Recent progress in machine learning-based methods for protein fold recognition - 2016.pdf
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Protein secondary structure prediction using deep convolutional neural fields - 2016.pdf
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Repeat proteins challenge the concept of structural domains - 2015.pdf
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Protein secondary prediction using cascaded convolutional and recurrent neural networks - 2016.pdf
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Surface-tethered protein switches.pdf
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Protein calligraphy: a new concept begins to take shape - 2016.pdf
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The coming age of de novo protein design - 2016.pdf
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ProSPr: Democratized implementation of AlphaFold protein distance prediction network - 2019.pdf
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The protein folding problem, 50 years on.pdf
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Principles for designing proteins with cavities formed by curved β sheets - 2017.pdf
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Toward machine-guided design of proteins - 2018.pdf
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Predicting the sequence specificities of DNA-and RNA-binding proteins by deep learning - 2015.pdf
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Why reinvent the wheel? Building new proteins based on ready-made parts - 2016.pdf
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Outcome of a workshop on applications of protein models in biomedical research.pdf
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lecture5.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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Fast search algorithms for computational protein design - 2016.pdf
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Exploring the repeat protein universe through computational protein design - 2016.pdf
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End-to-end differentiable learning of protein structure - 2018.pdf
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