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Available Documents

1. Abstract
2. Introduction
3. FAD Methods

FAD Data

We used a set of FAD binding proteins as a training data set, you can find the information of the data following this link. [here]

References

1. Uniprot.org
2. QuickRBF Package

Calendar

Study and Implementation of "Machine Learning Techniques"

Welcome to FAD-ETC-RBF

FAD-ETC-RBF - is a web-server specially trained for the identification of favin adenosine dinucleotide (FAD) in electron transport proteins.

This prediction server is built by using QuickRBF classification based on PSSM profiles with 17 sliding window and SAAPs. We used the independent data set to evaluate the performance of the proposed method, which achieved an accuracy of 69.84%. This web server is vital in helping biologists clearly understand the operating mechanisms of electron transport chains and Complex II.

We also developed friendly web interface that user can easity submit their sequence ( by using sequence file or type in the text box). The performance of this web server is as fast as possible. After the submission, user only waits for the short time to receive the results.

 

 

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QuickRBF Package

QuickRBF is an Efficient Construction of RBFNs with the Cholesky Decomposition.

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Yu-Yen Ou's Homepage

Dept. of Computer Science and Engineering, Yuan Ze University, Chungli, Taiwan

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Yuan Ze University

Yuan Ze University (YZU) is a private university located in Taoyuan City, Taiwan.

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