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

 NO

:: 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.

iCTX-Type – Predicting the types of Conotoxins in Targeting Ion Channels

iCTX-Type

:: DESCRIPTION

iCTX-Type is a sequence-based predictor for identifying the types of conotoxins in targeting ion channels

::DEVELOPER

LinDing Group, Center of Bioinformatics, University of Electronic Science and Technology of China.

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Web Browser

:: DOWNLOAD

 NO

:: MORE INFORMATION

Citation

Hui Ding, En-Ze Deng, Lu-Feng Yuan, Li Liu, Hao Lin, Wei Chen, Kuo-Chen Chou. (2014)
iCTX-Type: A sequence-based predictor for identifying the types of conotoxins in targeting ion channels.
BioMed Research International, ID 286419.