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- W2381036017 abstract "Protein subcellular locations has immediate relevance for understanding protein function and designing new drug.Present methods are mainly based on sorting signals or amino acid compositions.However,methods based solely on sorting signals or amino acid compositions may lose the sequence order information.To overcome the shortcomings,we divided each chain into three parts:N-terminal,middle,and C-terminal.Then,features were extracted from each part and the whole chain independently.These features are amino acid compositions,dipeptides,and stereochemical properties.Finally,features of different parts are combined and the combined features are used as features of the whole chain.By Jackknife test on the NNPSL dataset,our overall accuracies for prokaryotic and eukaryotic proteins are 87.8% and 92.1%,respectively." @default.
- W2381036017 created "2016-06-24" @default.
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- W2381036017 date "2011-01-01" @default.
- W2381036017 modified "2023-09-25" @default.
- W2381036017 title "Prediction of protein subcellular location using optimal cleavage site" @default.
- W2381036017 hasPublicationYear "2011" @default.
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