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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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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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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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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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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Protein secondary structure: Entropy, correlations and prediction [PDF]
Bioinformatics, 2003 Is protein secondary structure primarily determined by local interactions between residues closely spaced along the amino acid backbone, or by non-local tertiary interactions?
Brenner, Steven E., Crooks, Gavin E.
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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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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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Impact of Multi-Factor Features on Protein Secondary Structure Prediction [PDF]
BiomoleculesProtein secondary structure prediction (PSSP) plays a crucial role in resolving protein functions and properties. Significant progress has been made in this field in recent years, and the use of a variety of protein-related features, including amino acid
Benzhi Dong +5 more
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Biomolecules, 2020 The model of protein folding proposed by Ptitsyn and colleagues involves the accretion of secondary structures around a nucleus. As developed by Efimov, this model also provides a useful way to view the relationships among structures.
William R. Taylor
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