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Prediction of protein subcellular location using a combined feature of sequence
2005
FEBS Letters
To understand the structure and function of a protein, an important task is to know where it occurs in the cell. Thus, a computational method for properly predicting the subcellular location of proteins would be significant in interpreting the original data produced by the large-scale genome sequencing projects. The present work tries to explore an effective method for extracting features from protein primary sequence and find a novel measurement of similarity among proteins for classifying a
doi:10.1016/j.febslet.2005.05.021
pmid:15949806
fatcat:on6p7ynur5ckxdv6akqtw2nxaa