NDLI: Prediction of mutations engineered by randomness in H5N1 neuraminidases from influenza A virus

Content Provider	SpringerLink
Author	Wu, G. Yan, S.
Copyright Year	2007
Abstract	In this proof-of-concept study, we attempt to determine whether the cause-mutation relationship defined by randomness is protein dependent by predicting mutations in H5N1 neuraminidases from influenza A virus, because we have recently conducted several concept-initiated studies on the prediction of mutations in hemagglutinins from influenza A virus. In our concept-initiated studies, we defined the randomness as a cause for mutation, upon which we built a cause-mutation relationship, which is then switched into the classification problem because the occurrence and non-occurrence of mutations can be classified as unity and zero. Thereafter, we used the logistic regression and neural network to solve this classification problem to predict the mutation positions in hemagglutinins, and then used the amino acid mutating probability to predict the would-be-mutated amino acids. As the previous results were promising, we extend this approach to other proteins, such as H5N1 neuraminidase in this study, and further address various issues raised during the development of this approach. The result of this study confirms that we can use this cause-mutation relationship to predict the mutations in H5N1 neuraminidases.
Starting Page	81
Ending Page	90
Page Count	10
File Format	PDF
ISSN	09394451
Journal	Amino Acids
Volume Number	34
Issue Number	1
e-ISSN	14382199
Language	English
Publisher	Springer-Verlag
Publisher Date	2007-08-28
Publisher Place	Vienna
Access Restriction	Subscribed
Subject Keyword	Biochemistry Analytical Chemistry Biochemical Engineering Life Sciences Proteomics Neurobiology
Content Type	Text
Resource Type	Article
Subject	Clinical Biochemistry Organic Chemistry Biochemistry

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