About MCIC:
Using a sequence similarity-based annotation and an ensemble of a support vector classifier and a multi-layer perceptron, MCIC (metagenome cellulase identification and classification) aims to identify and classify cellulolytic enzymes from a given metagenomic data as well as any other amino-acid sequence on the basis of optimum temperature and pH.
MCIC’s prediction performance was evaluated through multiple CV tests and exhibited a mean accuracy of 98% on the prediction of both temperature and pH dependence.

Click here to download MCIC for Linux.

Click here to download MCIC for Windows.