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