Combining phylogenetic profiling-based and machine learning-based techniques to predict functional related proteins.
PLoS One
; 8(9): e75940, 2013.
Article
in En
| MEDLINE
| ID: mdl-24069454
ABSTRACT
Annotating protein functions and linking proteins with similar functions are important in systems biology. The rapid growth rate of newly sequenced genomes calls for the development of computational methods to help experimental techniques. Phylogenetic profiling (PP) is a method that exploits the evolutionary co-occurrence pattern to identify functional related proteins. However, PP-based methods delivered satisfactory performance only on prokaryotes but not on eukaryotes. This study proposed a two-stage framework to predict protein functional linkages, which successfully enhances a PP-based method with machine learning. The experimental results show that the proposed two-stage framework achieved the best overall performance in comparison with three PP-based methods.
Full text:
1
Collection:
01-internacional
Health context:
3_ND
Database:
MEDLINE
Main subject:
Phylogeny
/
Artificial Intelligence
/
Proteins
Type of study:
Prognostic_studies
/
Risk_factors_studies
Language:
En
Journal:
PLoS One
Year:
2013
Document type:
Article