Deep learning for protein secondary structure prediction: Pre and

Deep learning for protein secondary structure prediction: Pre and post-AlphaFold. - Abstract - Europe PMC

IUCr) Protein structure prediction by AlphaFold2: are attention and symmetries all you need?

IJMS, Free Full-Text

A Deep Learning Approach for Prediction of Protein Secondary Structure

Protein secondary structure prediction using neural networks and deep learning: A review - ScienceDirect

Secondary Structure Prediction of Protein Using Support Vector Machine and Neural Networks

Paper: DeepPrime2Sec: Deep Learning for Protein Secondary Structure Prediction from the Primary Sequences - Asgari et al. 2019 - Machine Learning Applied

Learning from evolution: Using AI language models to design proteins

Advances in protein structure prediction and design

AttSec: protein secondary structure prediction by capturing local patterns from attention map, BMC Bioinformatics

A Multitask Deep-Learning Method for Predicting Membrane Associations and Secondary Structures of Proteins

Improving DNA-Binding Protein Prediction Using Three-Part Sequence-Order Feature Extraction and a Deep Neural Network Algorithm

De novo protein fold design through sequence-independent fragment assembly simulations