ProLoc-GO: Utilizing informative Gene Ontology terms for sequence-based prediction of protein subcellular localization |
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| Authors: | Wen-Lin Huang Chun-Wei Tung Shih-Wen Ho Shiow-Fen Hwang Shinn-Ying Ho |
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| Institution: | (1) Institute of Information Engineering and Computer Science,Feng Chia University, Taichung, Taiwan;(2) Institute of Bioinformatics,National Chiao Tung University, Hsinchu, Taiwan;(3) Department of Management Information System, Chin Min Institute of Technology, Miaoli, Taiwan;(4) Department of Biological Science and Technology, National Chiao Tung University, Hsinchu, Taiwan |
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| Abstract: | Background Gene Ontology (GO) annotation, which describes the function of genes and gene products across species, has recently been used
to predict protein subcellular and subnuclear localization. Existing GO-based prediction methods for protein subcellular localization
use the known accession numbers of query proteins to obtain their annotated GO terms. An accurate prediction method for predicting
subcellular localization of novel proteins without known accession numbers, using only the input sequence, is worth developing. |
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