ESLpred2: improved method for predicting subcellular localization of eukaryotic proteins.

ABSTRACT:

Background

The expansion of raw protein sequence databases in the post genomic era and availability of fresh annotated sequences for major localizations particularly motivated us to introduce a new improved version of our previously forged eukaryotic subcellular localizations prediction method namely "ESLpred". Since, subcellular localization of a protein offers essential clues about its functioning, hence, availability of localization predictor would definitely aid and expedite the protein deciphering studies. However, robustness of a predictor is highly dependent on the superiority of dataset and extracted protein attributes; hence, it becomes imperative to improve the performance of presently available method using latest dataset and crucial input features.

Results

Here,

SUBMITTER: Garg A 

PROVIDER: S-EPMC2612013 | biostudies-literature | 2008 Nov

REPOSITORIES: biostudies-literature