TARGET: a new method for predicting protein subcellular localization in eukaryotes
نویسندگان
چکیده
منابع مشابه
TARGET: a new method for predicting protein subcellular localization in eukaryotes
Motivation: There is a scarcity of efficient computational methods for predictingprotein subcellular localization in eukaryotes.Currentlyavailablemethodsare inadequate forgenome-scalepredictionswith several limitations. Here, we present a new prediction method, pTARGET that canpredict proteins targeted toninedifferent subcellular locations in the eukaryotic animal species. Results:The nine subc...
متن کاملpTARGET: a web server for predicting protein subcellular localization
The pTARGET web server enables prediction of nine distinct protein subcellular localizations in eukaryotic non-plant species. Predictions are made using a new algorithm [C. Guda and S. Subramaniam (2005) pTARGET [corrected] a new method for predicting protein subcellular localization in eukaryotes. Bioinformatics, 21, 3963-3969], which is primarily based on the occurrence patterns of location-s...
متن کاملA novel method for predicting protein subcellular localization based on pseudo amino acid composition.
In this paper, a novel approach, ELM-PCA, is introduced for the first time to predict protein subcellular localization. Firstly, Protein Samples are represented by the pseudo amino acid composition (PseAAC). Secondly, the principal component analysis (PCA) is employed to extract essential features. Finally, the Elman Recurrent Neural Network (RNN) is used as a classifier to identify the protein...
متن کاملAn Automated Combination of Kernels for Predicting Protein Subcellular Localization
Protein subcellular localization is a crucial ingredient to many important inferences about cellular processes, including prediction of protein function and protein interactions. We propose a new class of protein sequence kernels which considers all motifs including motifs with gaps. This class of kernels allows the inclusion of pairwise amino acid distances into their computation. We utilize a...
متن کاملPredicting human protein subcellular localization by heterogeneous and comprehensive approaches
Drug development and investigation of protein function both require an understanding of protein subcellular localization. We developed a system, REALoc, that can predict the subcellular localization of singleplex and multiplex proteins in humans. This system, based on comprehensive strategy, consists of two heterogeneous systematic frameworks that integrate one-to-one and many-to-many machine l...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Bioinformatics
سال: 2005
ISSN: 1367-4803,1460-2059
DOI: 10.1093/bioinformatics/bti650