LOC3D: annotate sub-cellular localization for protein structures
AUTOR(ES)
Nair, Rajesh
FONTE
Oxford University Press
RESUMO
LOC3D (http://cubic.bioc.columbia.edu/db/LOC3d/) is both a weekly-updated database and a web server for predictions of sub-cellular localization for eukaryotic proteins of known three-dimensional (3D) structure. Localization is predicted using four different methods: (i) PredictNLS, prediction of nuclear proteins through nuclear localization signals; (ii) LOChom, inferring localization through sequence homology; (iii) LOCkey, inferring localization through automatic text analysis of SWISS-PROT keywords; and (iv) LOC3Dini, ab initio prediction through a system of neural networks and vector support machines. The final prediction is based on the method that predicts localization with the highest confidence. The LOC3D database currently contains predictions for >8700 eukaryotic protein chains taken from the Protein Data Bank (PDB). The web server can be used to predict sub-cellular localization for proteins for which only a predicted structure is available from threading servers. This makes the resource of particular interest to structural genomics initiatives.
ACESSO AO ARTIGO
http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=168921Documentos Relacionados
- LOCnet and LOCtarget: sub-cellular localization for structural genomics targets
- Sterol Biosynthesis in Sub-Cellular Particles of Higher Plants 1
- DBSubLoc: database of protein subcellular localization
- Electron Transport and Cytochromes of Sub-Cellular Particles from Cauliflower Buds. 1
- Sub-cellular trafficking of phytochemicals explored using auto-fluorescent compounds in maize cells
