Deep learning for protein secondary structure prediction: Pre and
Por um escritor misterioso
Descrição
End-to-End Deep Learning Model to Predict and Design Secondary Structure Content of Structural Proteins
Collectively encoding protein properties enriches protein language models, BMC Bioinformatics
Flowchart of the two-stage secondary structure prediction algorithm.
From sequence to function through structure: deep learning for protein design
Template-based prediction of protein structure with deep learning, BMC Genomics
Deep learning for protein secondary structure prediction: Pre and post-AlphaFold - ScienceDirect
Transformer-based deep learning for predicting protein properties in the life sciences
Deep learning for protein secondary structure prediction: Pre and post-AlphaFold - Computational and Structural Biotechnology Journal
Protein secondary structure prediction using data-partitioning combined with stacked convolutional neural networks and bidirectional gated recurrent units
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