Deep learning for protein secondary structure prediction: Pre and
Por um escritor misterioso
Descrição
Structure-based protein function prediction using graph convolutional networks
Protein secondary structure prediction using data-partitioning combined with stacked convolutional neural networks and bidirectional gated recurrent units
A Multitask Deep-Learning Method for Predicting Membrane Associations and Secondary Structures of Proteins
Fast and Accurate Prediction of Intrinsically Disordered Protein by Protein Language Model
A Multi-Layer LSTM-Time-Density-Softmax (LDS) Approach for Protein Structure Prediction Using Deep Learning
Protein secondary structure prediction using neural networks and deep learning: A review - ScienceDirect
Deep learning for protein secondary structure prediction: Pre and post-AlphaFold - ScienceDirect
Protein Secondary Structure Prediction: Models, code, and papers - CatalyzeX
ML meets Structural Bioinformatics: Novel Machine Learning Approaches Transforming Protein Research Landscape - CBIRT
Machine learning in computational modelling of membrane protein sequences and structures: From methodologies to applications - ScienceDirect
PROTEINS: Structure, Function, and Bioinformatics, Protein Science Journal
Paper: DeepPrime2Sec: Deep Learning for Protein Secondary Structure Prediction from the Primary Sequences - Asgari et al. 2019 - Machine Learning Applied
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