Protein Sequencing with Artificial Intelligence: Machine Learning
Por um escritor misterioso
Descrição
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SESNet: sequence-structure feature-integrated deep learning method for data-efficient protein engineering, Journal of Cheminformatics
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Neural networks to learn protein sequence–function relationships from deep mutational scanning data
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PDF] Predicting protein‐protein interactions through sequence‐based deep learning
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Protein Engineering: a New Paradigm Emerging at the Intersection of AI and Biotechnology
Ten quick tips for sequence-based prediction of protein properties using machine learning
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Large language models generate functional protein sequences across diverse families
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Artificial intelligence to deep learning: machine intelligence approach for drug discovery
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Beyond AlphaFold: AI excels at creating new proteins - UW Medicine
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Deep generative models for peptide design - Digital Discovery (RSC Publishing) DOI:10.1039/D1DD00024A
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3D Structure Prediction in the era of AI
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