Results 21 to 30 of about 214,637 (252)
PROTINFO: secondary and tertiary protein structure prediction [PDF]
Nucleic Acids Research, 2003 Information about the secondary and tertiary structure of a protein sequence can greatly assist biologists in the generation and testing of hypotheses, as well as design of experiments. The PROTINFO server enables users to submit a protein sequence and request a prediction of the three-dimensional (tertiary) structure based on comparative modeling ...
Ling-Hong Hung, Ram Samudrala
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Protein secondary structure: entropy, correlations and prediction [PDF]
Bioinformatics, 2004 Abstract Motivation: Is protein secondary structure primarily determined by local interactions between residues closely spaced along the amino acid backbone or by non-local tertiary interactions? To answer this question, we measure the entropy densities of primary and secondary structure sequences, and the local inter-sequence mutual ...
Crooks, Gavin E., Brenner, Steven E.
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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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Aligning Protein Sequences with Predicted Secondary Structure [PDF]
Journal of Computational Biology, 2010 Accurately aligning distant protein sequences is notoriously difficult. Since the amino acid sequence alone often does not provide enough information to obtain accurate alignments under the standard alignment scoring functions, a recent approach to improving alignment accuracy is to use additional information such as secondary structure.
John D. Kececioglu +2 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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Secondary structure specific simpler prediction models for protein backbone angles
BMC Bioinformatics, 2022 Motivation Protein backbone angle prediction has achieved significant accuracy improvement with the development of deep learning methods. Usually the same deep learning model is used in making prediction for all residues regardless of the categories of ...
M. A. Hakim Newton +3 more
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Bayesian model of protein primary sequence for secondary structure prediction. [PDF]
PLoS ONE, 2014 Determining the primary structure (i.e., amino acid sequence) of a protein has become cheaper, faster, and more accurate. Higher order protein structure provides insight into a protein's function in the cell. Understanding a protein's secondary structure
Qiwei Li +4 more
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Using Deep Learning (CNN, RNN, LSTM, GRU) methods for the prediction of Protein Secondary Structure
Acta Infologica, 2022 Proteins play a crucial function in the biological processes of living organisms. Knowing the function of the protein offers significant insight into future biological and medical research. Since a protein’s shape determines its function, it is important
Ezgi Çakmak, İhsan Hakan Selvi
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Integration of Multi-Feature Fusion and PLS-DA in Protein Secondary Structure Prediction
MATEC Web of Conferences, 2016 Protein structure prediction has become one of the central problems in the field of modern computational biology. Protein secondary structure prediction is the basis of the spatial structure prediction of proteins.
Huang Guangzao +5 more
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