Results 31 to 40 of about 1,817,592 (311)
Convolution-Bidirectional Temporal Convolutional Network for Protein Secondary Structure Prediction
IEEE Access, 2022 As a basic feature extraction method, convolutional neural networks have some information loss problems when dealing with sequence problems, and a temporal convolutional network can compensate for this problem.
Yunqing Zhang, Yuming Ma, Yihui Liu
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The PSIPRED protein structure prediction server
Bioinform., 2000 SUMMARY The PSIPRED protein structure prediction server allows users to submit a protein sequence, perform a prediction of their choice and receive the results of the prediction both textually via e-mail and graphically via the web.
L. McGuffin, K. Bryson, David T. Jones
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Extracting Physicochemical Features to Predict Protein Secondary Structure
The Scientific World Journal, 2013 We propose a protein secondary structure prediction method based on position-specific scoring matrix (PSSM) profiles and four physicochemical features including conformation parameters, net charges, hydrophobic, and side chain mass.
Yin-Fu Huang, Shu-Ying Chen
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An evolutionary method for learning HMM structure: prediction of protein secondary structure
BMC Bioinformatics, 2007 Background The prediction of the secondary structure of proteins is one of the most studied problems in bioinformatics. Despite their success in many problems of biological sequence analysis, Hidden Markov Models (HMMs) have not been used much for this ...
Won Kyoung-Jae +3 more
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Nucleic Acids Res., 2018 Circular dichroism (CD) spectroscopy is a widely used method to study the protein secondary structure. However, for decades, the general opinion was that the correct estimation of β-sheet content is challenging because of the large spectral and ...
András Micsonai +8 more
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Bayesian Segmentation of Protein Secondary Structure [PDF]
Journal of Computational Biology, 2000 We present a novel method for predicting the secondary structure of a protein from its amino acid sequence. Most existing methods predict each position in turn based on a local window of residues, sliding this window along the length of the sequence. In contrast, we develop a probabilistic model of protein sequence/structure relationships in terms of ...
Douglas L. Brutlag +2 more
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JPred4: a protein secondary structure prediction server
Nucleic Acids Res., 2015 JPred4 (http://www.compbio.dundee.ac.uk/jpred4) is the latest version of the popular JPred protein secondary structure prediction server which provides predictions by the JNet algorithm, one of the most accurate methods for secondary structure prediction.
Alexey Drozdetskiy +3 more
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Combining Deep Neural Networks for Protein Secondary Structure Prediction
IEEE Access, 2020 By combining convolutional neural networks (CNN) and long short term memory networks (LSTM) into the learning structure, this paper presents a supervised learning method called combining deep neural networks (CDNN) for protein secondary structure ...
Shusen Zhou +4 more
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Electrostatic interactions and secondary structures in proteins
Biophysical Journal, 1980 In an attempt to understand the occurrences of secondary forms in proteins, we have calculated approximate free energies for a large set of regular secondary regions and have compared several methods for choosing a single molecular conformation. Approximate conformational free energies have been obtained by directly calculating electrostatic energies ...
Shousun C. Szu +2 more
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Bioinform., 2018 Motivation Sequence-based prediction of one dimensional structural properties of proteins has been a long-standing subproblem of protein structure prediction.
Jack Hanson +4 more
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