Convolution Neural Network-Based Prediction of Protein Thermostability
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Product Description
Protein design and variant prediction using autoregressive generative models
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Enhancement of protein thermostability by three consecutive mutations using loop-walking method and machine learning
PDF) Enhancement of protein thermostability by three consecutive mutations using loop-walking method and machine learning
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Prediction of protein–protein interaction using graph neural networks
An illustration of two inverse processes, i.e. protein structure
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Advances in protein structure prediction and design
Robust deep learning–based protein sequence design using ProteinMPNN
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3D deep convolutional neural networks for amino acid environment similarity analysis, BMC Bioinformatics
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