Protein secondary structure in spider silk nanofibrils [PDF]
Nature Communications, 2022 Secondary fibril structure is a key component of the mechanical properties of protein materials like silk, yet, limited information is known about the internal structure of these protein fibrils. Here, the authors report on the use of polarised Raman and
Qijue Wang +8 more
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Protein Secondary Structure Prediction With a Reductive Deep Learning Method [PDF]
Frontiers in Bioengineering and Biotechnology, 2021 Protein secondary structures have been identified as the links in the physical processes of primary sequences, typically random coils, folding into functional tertiary structures that enable proteins to involve a variety of biological events in life ...
Zhiliang Lyu +5 more
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Mathematical and Machine Learning Approaches for Classification of Protein Secondary Structure Elements from Cα Coordinates [PDF]
Biomolecules, 2023 Determining Secondary Structure Elements (SSEs) for any protein is crucial as an intermediate step for experimental tertiary structure determination. SSEs are identified using popular tools such as DSSP and STRIDE.
Ali Sekmen +4 more
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DichroWeb, a website for calculating protein secondary structure from circular dichroism spectroscopic data. [PDF]
Protein Sci, 2022 Circular dichroism (CD) spectroscopy is a widely‐used method for characterizing the secondary structures of proteins. The well‐established and highly used analysis website, DichroWeb (located at: http://dichroweb.cryst.bbk.ac.uk/html/home.shtml) enables ...
Miles AJ, Ramalli SG, Wallace BA.
europepmc +2 more sources
Automated Protein Secondary Structure Assignment from Cα Positions Using Neural Networks [PDF]
Biomolecules, 2022 The assignment of secondary structure elements in protein conformations is necessary to interpret a protein model that has been established by computational methods.
Mohammad N. Saqib +2 more
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Evaluation of protein secondary structure from FTIR spectra improved after partial deuteration. [PDF]
Eur Biophys J, 2021 FTIR spectroscopy has become a major tool to determine protein secondary structure. One of the identified obstacle for reaching better predictions is the strong overlap of bands assigned to different secondary structures.
De Meutter J, Goormaghtigh E.
europepmc +2 more sources
Prediction of protein secondary structure based on an improved channel attention and multiscale convolution module [PDF]
Frontiers in Bioengineering and Biotechnology, 2022 Prediction of the protein secondary structure is a key issue in protein science. Protein secondary structure prediction (PSSP) aims to construct a function that can map the amino acid sequence into the secondary structure so that the protein secondary ...
Xin Jin +9 more
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Discovering the Ultimate Limits of Protein Secondary Structure Prediction [PDF]
Biomolecules, 2021 Secondary structure prediction (SSP) of proteins is an important structural biology technique with many applications. There have been ~300 algorithms published in the past seven decades with fierce competition in accuracy.
Chia-Tzu Ho +4 more
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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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A secondary structure-based position-specific scoring matrix applied to the improvement in protein secondary structure prediction. [PDF]
PLoS ONE, 2021 Protein secondary structure prediction (SSP) has a variety of applications; however, there has been relatively limited improvement in accuracy for years.
Teng-Ruei Chen +4 more
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