Flavoenzymes/Flavoproteins class of proteins which require FAD as prosthetic group. These flavoenzyme play vital role in electron transport system. Interaction of FAD molecules with proteins play important. So if we have better idea about how these FAD molecules interact with proteins then its became helpfull to undestood whole mechanism.

FADPred is a web-server specially trained for the FAD interacting residues. The prediction is based on the basis of binary pattern of 17 window motif of amino acid sequence by using support vector machines(SVM). The prediction result will be displayed on web browser.

Our model predict FAD interacting residues with very high accuracy. During our study we may achieved accuracy 69.65% for binary pattern 82.86% for PSSM pattern model.

We developed user friendly webserver where user can submit there sequence (directly paste sequence in box or upload sequence file) and select the option for binary pattern & PSSM and threshold. After some time result will dispalyed on the terminal. Our PSSM based method take some time in case you can sumit email id on submission page after prediction it will send you link where you can find your results.