Based on machine learning approach, this tool is use to predict metabolic pathway of enzymes.

How to cite mApLe:
Almeida RO, Valente GT. Predicting metabolic pathways of plant enzymes without using
sequence similarity: Models from machine learning. The Plant Genome. 2020;e20043. https://doi.org/10.1002/tpg2.20043

More about mApLe: mApLe: Predicting metabolic pathways of enzymes.



Tutorial

To use mAppLe tool, you will need:

Download:
mApLe.tar.xz - Uncompress in /home/USER
mApLe - Reference Manual - How to use mApLe
Raw Data - Data used to create the models
All Dataset - Dataset used to training, test and validation
mApLe-test subset 1 - Dataset used in mApLe, DeepEC and KAAS



About mAppLe

You can visualize the prediction table, plot and a summary of data in mAppLe tool.
You can download (as compressed file) the results: - Table of Results; - Weka files results; - Plots; - ARFF files used; - Attributes generated.

Table of results will show like the follow figure:


1 - Metabolic pathways analysed.
2 - Identification of sequences and probability results.
3 - Sequence control of mApLe tool and probability results.