Results 21 to 30 of about 418,398 (323)
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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PS4: a next-generation dataset for protein single-sequence secondary structure prediction
BioTechniques, 2023 Protein secondary structure prediction is a subproblem of protein folding. A light-weight algorithm capable of accurately predicting secondary structure from only the protein residue sequence could provide useful input for tertiary structure prediction ...
Omar Peracha
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Species-specific protein secondary structure prediction [PDF]
, 2010 Mariana Barssoum
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Prediction of protein secondary structure content [PDF]
Protein Engineering, Design and Selection, 1999 All existing algorithms for predicting the content of protein secondary structure elements have been based on the conventional amino-acid-composition, where no sequence coupling effects are taken into account. In this article, an algorithm was developed for predicting the content of protein secondary structure elements that was based on a new amino ...
W, Liu, K C, Chou
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Protein secondary structure prediction (PSSP) using different machine algorithms
Egyptian Journal of Medical Human Genetics, 2021 Background The computational biology approach has advanced exponentially in protein secondary structure prediction (PSSP), which is vital for the pharmaceutical industry.
Heba M. Afify +3 more
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3-State Protein Secondary Structure Prediction based on SCOPe Classes
Brazilian Archives of Biology and Technology, 2021 Improving the accuracy of protein secondary structure prediction has been an important task in bioinformatics since it is not only the starting point in obtaining tertiary structure in hierarchical modeling but also enhances sequence analysis and ...
Sema Atasever +3 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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BMC Bioinformatics, 2020 Background Whenever suitable template structures are not available, usage of fragment-based protein structure prediction becomes the only practical alternative as pure ab initio techniques require massive computational resources even for very small ...
Jad Abbass, Jean-Christophe Nebel
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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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Mathematical Biosciences and Engineering, 2023 Protein secondary structure is the basis of studying the tertiary structure of proteins, drug design and development, and the 8-state protein secondary structure can provide more adequate protein information than the 3-state structure.
Shun Li, Lu Yuan, Yuming Ma , Yihui Liu
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