Predicting Protein Subcellular Localization: Past, Present, and Future
Open Access
- 1 November 2004
- journal article
- review article
- Published by Oxford University Press (OUP) in Genomics, Proteomics and Bioinformatics
- Vol. 2 (4) , 209-215
- https://doi.org/10.1016/s1672-0229(04)02027-3
Abstract
Functional characterization of every single protein is a major challenge of the post-genomic era. The large-scale analysis of a cell’s proteins, proteomics, seeks to provide these proteins with reliable annotations regarding their interaction partners and functions in the cellular machinery. An important step on this way is to determine the subcellular localization of each protein. Eukaryotic cells are divided into subcellular compartments, or organelles. Transport across the membrane into the organelles is a highly regulated and complex cellular process. Predicting the subcellular localization by computational means has been an area of vivid activity during recent years. The publicly available prediction methods differ mainly in four aspects: the underlying biological motivation, the computational method used, localization coverage, and reliability, which are of importance to the user. This review provides a short description of the main events in the protein sorting process and an overview of the most commonly used methods in this field.Keywords
This publication has 66 references indexed in Scilit:
- BI-DIRECTIONAL PROTEIN TRANSPORT BETWEEN THE ER AND GOLGIAnnual Review of Cell and Developmental Biology, 2004
- Prediction of protein cellular attributes using pseudo‐amino acid compositionProteins-Structure Function and Bioinformatics, 2001
- A Bayesian system integrating expression data with sequence patterns for localizing proteins: comprehensive application to the yeast genome 1 1Edited by F. CohenJournal of Molecular Biology, 2000
- Predicting Subcellular Localization of Proteins Based on their N-terminal Amino Acid SequenceJournal of Molecular Biology, 2000
- SMART: a web-based tool for the study of genetically mobile domainsNucleic Acids Research, 2000
- ChloroP, a neural network‐based method for predicting chloroplast transit peptides and their cleavage sitesProtein Science, 1999
- Adaptation of protein surfaces to subcellular location 1 1Edited by F. E. CohenJournal of Molecular Biology, 1998
- Protein transport via amino-terminal targeting sequences: common themes in diverse systems (Review)Molecular Membrane Biology, 1995
- Discrimination of Intracellular and Extracellular Proteins Using Amino Acid Composition and Residue-pair FrequenciesJournal of Molecular Biology, 1994
- Intracellular Aspects of the Process of Protein SynthesisScience, 1975