Research graph
References from Deep learning for protein secondary structure prediction: Pre and post-AlphaFold. Local targets link to admitted publications; unresolved targets remain external evidence.
Unresolved reference
External reference
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Protein secondary structure prediction with a neural network
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Protein secondary structure prediction using nearest-neighbor methods
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Unresolved reference
2005 · External reference
A new representation for protein secondary structure prediction based on frequent patterns
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Protein secondary structure prediction with dihedral angles
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10.1002/prot.25487 · 2018 · External reference
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2016 · External reference
Protein secondary structure prediction: A survey of the state of the art
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Prediction of protein secondary structure at better than 70% accuracy
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2017 · External reference
Unresolved reference
2016 · External reference
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10.1109/tcbb.2019.2911677 · 2020 · External reference
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Biological structure and function emerge from scaling unsupervised learning to 250 million protein sequences
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Protein multiple sequence alignment benchmarking through secondary structure prediction
10.1093/bioinformatics/btw840 · 2017 · External reference
QuanTest2: benchmarking multiple sequence alignments using secondary structure prediction
10.1093/bioinformatics/btz552 · 2019 · External reference
Deeper profiles and cascaded recurrent and convolutional neural networks for state-of-the-art protein secondary structure prediction
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2020 · External reference
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10.1093/bioinformatics/btaa629 · 2020 · External reference
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10.1186/s12859-019-2932-0 · 2019 · External reference
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10.1093/bioinformatics/btaa196 · 2020 · External reference
10.1016/s0022-2836(05)80007-5
10.1016/s0022-2836(05)80007-5 · External reference
A modified definition of SOV, a segment-based measure for protein secondary structure prediction assessment
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10.1186/s13029-018-0068-7 · 2018 · External reference
Deep learning model with ensemble techniques to compute the secondary structure of proteins
10.1007/s11227-020-03467-9 · 2021 · External reference
Comparison of the predicted and observed secondary structure of T4 phage lysozyme
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10.1093/nar/gky949 · 2018 · External reference
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10.1002/prot.26007 · 2021 · External reference
OCLSTM: Optimized convolutional and long short-term memory neural network model for protein secondary structure prediction
2021 · External reference
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10.3389/fbioe.2020.629937 · 2021 · External reference
10.1093/bioinformatics/btab491
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10.1093/bioinformatics/btz712 · 2019 · External reference
A Bi-LSTM based ensemble algorithm for prediction of protein secondary structure
2019 · External reference
Protein secondary structure prediction with context convolutional neural network
10.1039/c9ra05218f · 2019 · External reference
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Secondary protein structure prediction combining protein structural class, relative surface accessibility, and contact number
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10.1093/bioinformatics/btg224 · 2003 · External reference
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10.1093/nar/gkt1240 · 2013 · External reference
Impact of protein dynamics on secondary structure prediction
10.1016/j.biochi.2020.09.006 · 2020 · External reference
Protein secondary structure prediction based on generative confrontation and convolutional neural network
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GenBank
10.1093/nar/gki063 · 2005 · External reference
An approach for protein secondary structure prediction using prediction-based language models
2020 · External reference
A multitask deep-learning method for predicting membrane associations and secondary structures of proteins
10.1021/acs.jproteome.1c00410 · 2021 · External reference
10.1093/bioinformatics/btk023
10.1093/bioinformatics/btk023 · External reference
Deep supervised and convolutional generative stochastic network for protein secondary structure prediction
2014 · External reference
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Unresolved reference
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Enlarged representative set of protein structures
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10.1002/prot.10051 · External reference
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10.1038/nbt.3988
10.1038/nbt.3988 · External reference
A simple strategy to enhance the speed of protein secondary structure prediction without sacrificing accuracy
2020 · External reference
Database of homology-derived protein structures and the structural meaning of sequence alignment
10.1002/prot.340090107 · 1991 · External reference
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Large-scale comparison of protein sequence alignment algorithms with structure alignments
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2017 · External reference
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2016 · External reference
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10.1142/s021972001850021x · 2018 · External reference
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10.1186/s12859-019-2940-0 · 2019 · External reference
Protein secondary structure prediction using multi-input convolutional neural network
2019 · External reference
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2016 · External reference
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2017 · External reference
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Length preferences and periodicity in β-strands. Antiparallel edge β-sheets are more likely to finish in non-hydrogen bonded rings
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2016 · External reference
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Protein structure prediction based on BN-GRU method, International Journal of Wavelets
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Protein secondary structure prediction with a reductive deep learning method
2021 · External reference
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Long sequence feature extraction based on deep learning neural network for protein secondary structure prediction
2017 · External reference
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2017 · External reference
10.1016/j.knosys.2016.11.015
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Protein secondary structure prediction using AutoEncoder network and Bayes classifier
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Protein secondary structure prediction based on integration of CNN and LSTM model
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2018 · External reference
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2020 · External reference
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2018 · External reference
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Prediction of protein secondary structure with clonal selection algorithm and multilayer perceptron
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Protein secondary structure prediction using a lightweight convolutional network and label distribution aware margin loss
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Discovering the ultimate limits of protein secondary structure prediction
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