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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Improving protein fold recognition using the amalgamation of evolutionary-based and structural-based information [PDF]
, 2014 Deciphering three dimensional structure of a protein sequence is a challenging task in biological science. Protein fold recognition and protein secondary structure prediction are transitional steps in identifying the three dimensional structure of a ...
Dehzangi, A. +3 more
core +1 more source
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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BeStSel: a web server for accurate protein secondary structure prediction and fold recognition from the circular dichroism spectra. [PDF]
Nucleic Acids Res, 2018 Micsonai A +8 more
europepmc +2 more sources
Protein Secondary Structure Prediction
International Journal of Innovative Technology and Exploring Engineering, 2019 Proteins are made up of basic units called amino acids which are held together by bonds namely hydrogen and ionic bond. The way in which the amino acids are sequenced has been categorized into two dimensional and three dimensional structures. The main advantage of predicting secondary structure is to produce tertiary structure likelihoods that are in ...
Priyanka B V +5 more
openaire +1 more source
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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Improved probability graph model for protein secondary structure prediction
Journal of Hebei University of Science and Technology, 2016 Protein secondary structure is closely related to protein tertiary structure and function, and became a hot topic in bioinformatics. The probability graph model HMM (Hidden Markov model) is an important tool in this field.
Lingqi ZHAO +4 more
doaj +1 more source
Combining classifiers for protein secondary structure prediction
2017 9th International Conference on Computational Intelligence and Communication Networks (CICN), 2017 Protein secondary structure prediction is an important step in estimating the three dimensional structure of proteins. Among the many methods developed for predicting structural properties of proteins, hybrid classifiers and ensembles that combine predictions from several models are shown to improve the accuracy rates. In this paper, we train, optimize
Aydin, Zafer, Uzut, Ommu Gulsum
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Bayesian models and algorithms for protein beta-sheet prediction [PDF]
, 2011 Prediction of the three-dimensional structure greatly benefits from the information related to secondary structure, solvent accessibility, and non-local contacts that stabilize a protein's structure.
Altunbasak, Yucel +5 more
core +1 more source