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The tool AodPred was developed to identify antioxidant proteins based on the sequence information. The feature selection technique was used to seek optimized g-gap dipeptide. AodPred achived an accuracy of 74.79% for antioxidant predictions in the jackknife cross-validation test. 75.09% antioxidant proteins and 74.48% non-antioxidant proteins were correctly identified. All data that used to train and test AodPred can be downloaded from the Data window of this web-server.



(1) For each submission, the number of protein sequences is limited at 100 or less;

(2) The input sequences must be in FASTA format; i.e., each protein sequence should start with a greater-than symbol (" > ") in the first column. The words right after the " > " symbol in the single initial line are optional and only used for the purpose of identification and description.

(3) If a query sequence contains any illegal character, the prediction will be stopped.