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IGPRED-MultiTask: A Deep Learning Model to Predict Protein Secondary Structure, Torsion Angles and Solvent Accessibility
(IEEE COMPUTER SOC, 2023)
Protein secondary structure, solvent accessibility and torsion angle predictions are preliminary steps to predict 3D structure of a protein. Deep learning approaches have achieved significant improvements in predicting ...
Combining Classifiers for Protein Secondary Structure Prediction
(IEEE345 E 47TH ST, NEW YORK, NY 10017 USA, 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 ...