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References from SERT-StructNet: Protein secondary structure prediction method based on multi-factor hybrid deep model. Local targets link to admitted publications; unresolved targets remain external evidence.
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10.1016/j.cels.2021.05.017 · External reference
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10.1007/978-1-4939-8736-8_20 · 2019 · External reference
Protein secondary structure motifs: a kinematic construction
10.1002/jcc.26448 · 2020 · External reference
Physicochemical position-dependent properties in the protein secondary structures
10.29252/ibj.23.4.253 · 2019 · External reference
Recent advances in NMR protein structure prediction with ROSETTA
10.3390/ijms24097835 · 2023 · External reference
PHD--an automatic mail server for protein secondary structure prediction
1994 · External reference
Protein secondary structure prediction for a single-sequence using hidden semi-Markov models
10.1186/1471-2105-7-178 · 2006 · External reference
Prediction of protein secondary structure content using support vector machine
10.1016/j.talanta.2006.09.015 · 2007 · External reference
10.1007/s00726-005-0239-0
10.1007/s00726-005-0239-0 · External reference
Protein structure prediction in the deep learning era
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10.1093/nar/gkw306
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10.1093/nar/gkv332
10.1093/nar/gkv332 · External reference
Deeper profiles and cascaded recurrent and convolutional neural networks for state-of-the-art protein secondary structure prediction
10.1038/s41598-019-48786-x · 2019 · External reference
Protein secondary structure prediction using cascaded feature learning model
2023 · External reference
Predicting secondary structures of proteins. Recognizing properties of amino acids with the logical analysis of data algorithm
2005 · External reference
10.1016/j.gene.2017.03.011
10.1016/j.gene.2017.03.011 · External reference
Protein encoder: an autoencoder-based ensemble feature selection scheme to predict protein secondary structure
2023 · External reference
A secondary structure-based position-specific scoring matrix applied to the improvement in protein secondary structure prediction
2021 · External reference
Improving protein fold recognition and structural class prediction accuracies using physicochemical properties of amino acids
10.1016/j.jtbi.2016.05.002 · 2016 · External reference
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10.1080/07391102.2001.10506715 · External reference
Multipath lightweight deep network using randomly selected dilated convolution
10.3390/s21237862 · 2021 · External reference
Squeeze-and-excitation networks
10.1109/tpami.2019.2913372 · 2020 · External reference
Theory of gating in recurrent neural networks
2022 · External reference
10.1162/neco.1997.9.8.1735
10.1162/neco.1997.9.8.1735 · External reference
Text compression-aided transformer encoding
10.1109/tpami.2021.3058341 · 2021 · External reference
10.1093/bioinformatics/btu352
10.1093/bioinformatics/btu352 · External reference
10.1002/(sici)1097-0134(19990301)34:4<508::aid-prot10>3.0.co;2-4
10.1002/(sici)1097-0134(19990301)34:4<508::aid-prot10>3.0.co;2-4 · External reference
Sequence similarity searching
2018 · External reference
AAindex: amino acid index database, progress report 2008
10.1093/nar/gkm998 · 2007 · External reference
Protein secondary structure prediction based on Wasserstein generative adversarial networks and temporal convolutional networks with convolutional block attention modules
10.3934/mbe.2023102 · 2023 · External reference