Predicting Gram-positive bacterial protein subcellular localization based on localization motifs
(2012) In Journal of Theoretical Biology 308. p.135-140- Abstract
The subcellular localization of proteins is closely related to their functions. In this work, we propose a novel approach based on localization motifs to improve the accuracy of predicting subcellular localization of Gram-positive bacterial proteins. Our approach performed well on a five-fold cross validation with an overall success rate of 89.5%. Besides, the overall success rate of an independent testing dataset was 97.7%. Moreover, our approach was tested using a new experimentally-determined set of Gram-positive bacteria proteins and achieved an overall success rate of 96.3%.
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/8238ff44-b063-431c-9a8d-685a0034ebf8
- author
- Hu, Yinxia
; Li, Tonghua
; Sun, Jiangming
LU
; Tang, Shengnan ; Xiong, Wenwei ; Li, Dapeng ; Chen, Guanyan and Cong, Peisheng
- publishing date
- 2012-09-07
- type
- Contribution to journal
- publication status
- published
- keywords
- Motif finding, Position-specific frequencies encoding, Subcellular location prediction, Support vector machine (SVM)
- in
- Journal of Theoretical Biology
- volume
- 308
- pages
- 135 - 140
- publisher
- Academic Press
- external identifiers
-
- scopus:84862677130
- pmid:22683368
- ISSN
- 0022-5193
- DOI
- 10.1016/j.jtbi.2012.05.031
- language
- English
- LU publication?
- no
- additional info
- Funding Information: The authors would like to thank financial support by the National Natural Science Foundation of China ( 20675057 , 20705024 ).
- id
- 8238ff44-b063-431c-9a8d-685a0034ebf8
- date added to LUP
- 2023-05-03 22:05:55
- date last changed
- 2024-03-08 00:34:32
@article{8238ff44-b063-431c-9a8d-685a0034ebf8, abstract = {{<p>The subcellular localization of proteins is closely related to their functions. In this work, we propose a novel approach based on localization motifs to improve the accuracy of predicting subcellular localization of Gram-positive bacterial proteins. Our approach performed well on a five-fold cross validation with an overall success rate of 89.5%. Besides, the overall success rate of an independent testing dataset was 97.7%. Moreover, our approach was tested using a new experimentally-determined set of Gram-positive bacteria proteins and achieved an overall success rate of 96.3%.</p>}}, author = {{Hu, Yinxia and Li, Tonghua and Sun, Jiangming and Tang, Shengnan and Xiong, Wenwei and Li, Dapeng and Chen, Guanyan and Cong, Peisheng}}, issn = {{0022-5193}}, keywords = {{Motif finding; Position-specific frequencies encoding; Subcellular location prediction; Support vector machine (SVM)}}, language = {{eng}}, month = {{09}}, pages = {{135--140}}, publisher = {{Academic Press}}, series = {{Journal of Theoretical Biology}}, title = {{Predicting Gram-positive bacterial protein subcellular localization based on localization motifs}}, url = {{http://dx.doi.org/10.1016/j.jtbi.2012.05.031}}, doi = {{10.1016/j.jtbi.2012.05.031}}, volume = {{308}}, year = {{2012}}, }