ESLpred2 – Subcellular Localization of Eukaryotic Proteins

ESLpred2

:: DESCRIPTION

ESLpred is a SVM based method for predicting subcellular localization of Eukaryotic proteins using dipeptide composition and PSIBLAST generated pfofile Using this server user may know the function of their protein based on its location in cell.

ESLpred2” is an improved version of our previous most popular method, ESLpred ,

::DEVELOPER

ESLpred2 Team

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Web Browser

:: DOWNLOAD

  NO

:: MORE INFORMATION

Citation

BMC Bioinformatics. 2008 Nov 28;9:503. doi: 10.1186/1471-2105-9-503.
ESLpred2: improved method for predicting subcellular localization of eukaryotic proteins.
Garg A1, Raghava GP.

Bhasin,M. and Raghava, G.P.S. (2004)
ESLpred: SVM Based Method for Subcellular Localization of Eukaryotic Proteins using Dipeptide Composition and PSI-BLAST.
Nucleic Acids Reasearch 32:W414-9.

ProP 1.0c – Arginine & Lysine propeptide Cleavage Sites in Eukaryotic Protein

ProP 1.0c

:: DESCRIPTION

ProP predicts arginine and lysine propeptide cleavage sites in eukaryotic protein sequences using an ensemble of neural networks. Furin-specific prediction is the default. It is also possible to perform a general proprotein convertase (PC) prediction.

::DEVELOPER

DTU Health Tech

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux

:: DOWNLOAD

ProP

:: MORE INFORMATION

Citation

Prediction of proprotein convertase cleavage sites.
Peter Duckert, Søren Brunak and Nikolaj Blom.
Protein Engineering, Design and Selection: 17: 107-112, 2004.

NetPhos 3.1 – Generic Phosphorylation Sites in Eukaryotic Proteins

NetPhos 3.1

:: DESCRIPTION

NetPhos produces neural network predictions for serine, threonine and tyrosine phosphorylation sites in eukaryotic proteins.

::DEVELOPER

DTU Health Tech

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux

:: DOWNLOAD

NetPhos

:: MORE INFORMATION

Citation

Sequence- and structure-based prediction of eukaryotic protein phosphorylation sites.
Blom, N., Gammeltoft, S., and Brunak, S.
Journal of Molecular Biology: 294(5): 1351-1362, 1999.

NYCE – Predict Subcellular Location of Eukaryotic Proteins based on Sequence

NYCE

:: DESCRIPTION

NYCE predicts subcellular location (either Nuclear, Nucleo-cytoplasmic, Cytoplasmic or Extracellular) of eukaryotic proteins using the predicted exposure value of their amino acids.

::DEVELOPER

Computational Biology and Data Mining (CBDM) Group

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Web Browser

:: DOWNLOAD

 NO

:: MORE INFORMATION

Citation

BMC Bioinformatics. 2013 Nov 28;14:342. doi: 10.1186/1471-2105-14-342.
A novel approach for protein subcellular location prediction using amino acid exposure.
Mer AS1, Andrade-Navarro MA.