Structural Analysis and Modeling of Proteins » książka
Structural Analysis and Modeling of Proteins
ISBN-13: 9783659597589 / Angielski / Miękka / 2014 / 192 str.
An integrated methodology is proposed to combine the major areas of protein analysis. It can be considered as a guideline that can be used to analyze and model a protein. This methodology is applied on one of proteins' viruses for analysis and modeling; non-structural protein 5a (NS5a) of Hepatitis C virus (HCV). Also, SemiBoost-Fold Recognition (SB-FR) algorithm is proposed for predicting protein fold. SB-FR proposes a semi-supervised boosting combination to achieve better multi-class classification model. A famous challengeable dataset (Ding and Dubchak dataset) is used for training and testing this proposed algorithm. Moreover, "TreeTest" testing method is introduced for improving the overall accuracy of SB-FR algorithm with lower computational time.
An integrated methodology is proposed to combine the major areas of protein analysis. It can be considered as a guideline that can be used to analyze and model a protein. This methodology is applied on one of proteins viruses for analysis and modeling; non-structural protein 5a (NS5a) of Hepatitis C virus (HCV). Also, SemiBoost-Fold Recognition (SB-FR) algorithm is proposed for predicting protein fold. SB-FR proposes a semi-supervised boosting combination to achieve better multi-class classification model. A famous challengeable dataset (Ding and Dubchak dataset) is used for training and testing this proposed algorithm. Moreover, "TreeTest" testing method is introduced for improving the overall accuracy of SB-FR algorithm with lower computational time.
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