Data & IT
Pocket
Structural Analysis and Modeling of Proteins
El-Behaidy Wessam • Youssif Aliaa • Ghalwash Atef
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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.
- Format: Pocket/Paperback
- ISBN: 9783659597589
- Språk: Engelska
- Antal sidor: 192
- Utgivningsdatum: 2014-10-09
- Förlag: LAP Lambert Academic Publishing