Kinome-render 1.3 – Visualize the Protein Kinase Superfamily of Protein

The PDEXK server is developed for detecting new protein families of the PD-(D/E)XK superfamily using Support Vector Machines trained on data derived from profile-profile alignments. Using a number of both superfamily-specific and general features, SVMs were trained to identify true positive alignments of PD-(D/E)XK representatives.

::DEVELOPER

VU Institute of Biotechnology

:: SCREENSHOTS

N/A

::REQUIREMENTS

Web Browser

:: DOWNLOAD

:: MORE INFORMATION

Citation

Laganeckas M., Margelevičius M., Venclovas Č. (2010)
Identification of new homologs of PD-(D/E)XK nucleases by Support Vector Machines trained on data derived from profile-profile alignments.
Nucl. Acids Res. (2011) 39 (4): 1187-1196.

PredCSF – Predicting Conotoxin Superfamily

PredCSF

:: DESCRIPTION

The web server PredCSF was developed by using modified one-versus-rest SVMs. The SVMs’input features are composed of physicochemical properties, evolutionary information, second structure and amino acid composition. Each SVM classifier’s output is the probability assigned to a superfamily.

::DEVELOPER

Computational Systems Biology Group, Shanghai Jiao Tong University

:: SCREENSHOTS

N/A

:: REQUIREMENTS

Web Browser

:: DOWNLOAD

:: MORE INFORMATION

Citation:

Protein Pept Lett. 2011 Mar;18(3):261-7.
PredCSF: an integrated feature-based approach for predicting conotoxin superfamily.
Fan YX1, Song J, Shen HB, Kong X.