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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Sixty-five years of the long march in protein secondary structure prediction: the final stretch? [PDF]
Brief Bioinform, 2018 Yang Y +6 more
europepmc +2 more sources
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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Protein secondary structure prediction in different structural classes [PDF]
Protein Engineering Design and Selection, 1998 Information about the secondary structure of a protein can be helpful in understanding its native folded state. In previous work, it was shown that the medium-range interactions predominate in all-alpha class and the long-range interactions predominate in all-beta class proteins.
M M, Gromiha, S, Selvaraj
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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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MUFOLD-SS: New deep inception-inside-inception networks for protein secondary structure prediction. [PDF]
Proteins, 2018 Fang C, Shang Y, Xu D.
europepmc +2 more sources
Jeeva: Enterprise Grid-enabled Web Portal for Protein Secondary Structure Prediction [PDF]
, 2008 This paper presents a Grid portal for protein secondary structure prediction developed by using services of Aneka, a .NET-based enterprise Grid technology.
Buyya, Rajkumar +3 more
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Sample Reduction Strategies for Protein Secondary Structure Prediction
Applied Sciences, 2019 Predicting the secondary structure from protein sequence plays a crucial role in estimating the 3D structure, which has applications in drug design and in understanding the function of proteins. As new genes and proteins are discovered, the large size of
Sema Atasever +3 more
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PCI-SS: MISO dynamic nonlinear protein secondary structure prediction
BMC Bioinformatics, 2009 Background Since the function of a protein is largely dictated by its three dimensional configuration, determining a protein's structure is of fundamental importance to biology.
Aboul-Magd Mohammed O +2 more
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